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Combining Label Propagation and Simple Models out-performs Graph Neural Networks
195
iclr
51
5
2023-06-18 09:25:32.093000
https://github.com/CUAI/CorrectAndSmooth
264
Combining label propagation and simple models out-performs graph neural networks
https://scholar.google.com/scholar?cluster=3392954372444403130&hl=en&as_sdt=0,33
9
2,021
Provably robust classification of adversarial examples with detection
21
iclr
2
0
2023-06-18 09:25:32.296000
https://github.com/boschresearch/robust_classification_with_detection
7
Provably robust classification of adversarial examples with detection
https://scholar.google.com/scholar?cluster=2472207606878267459&hl=en&as_sdt=0,47
4
2,021
Fourier Neural Operator for Parametric Partial Differential Equations
853
iclr
391
12
2023-06-18 09:25:32.500000
https://github.com/zongyi-li/fourier_neural_operator
1,306
Fourier neural operator for parametric partial differential equations
https://scholar.google.com/scholar?cluster=12451804788662635900&hl=en&as_sdt=0,10
36
2,021
Class Normalization for (Continual)? Generalized Zero-Shot Learning
26
iclr
4
2
2023-06-18 09:25:32.704000
https://github.com/universome/czsl
34
Class normalization for (continual)? generalized zero-shot learning
https://scholar.google.com/scholar?cluster=12819058346113139372&hl=en&as_sdt=0,33
4
2,021
Adaptive and Generative Zero-Shot Learning
42
iclr
5
2
2023-06-18 09:25:32.907000
https://github.com/anonmous529/AGZSL
16
Adaptive and generative zero-shot learning
https://scholar.google.com/scholar?cluster=17923480096622740507&hl=en&as_sdt=0,5
2
2,021
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
10
iclr
0
0
2023-06-18 09:25:33.113000
https://github.com/mihirp1998/Disentangling-3D-Prototypical-Nets
10
Disentangling 3d prototypical networks for few-shot concept learning
https://scholar.google.com/scholar?cluster=3118057905544966050&hl=en&as_sdt=0,5
2
2,021
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
11
iclr
3
1
2023-06-18 09:25:33.316000
https://github.com/Newbeeer/Anytime-Auto-Regressive-Model
22
Anytime sampling for autoregressive models via ordered autoencoding
https://scholar.google.com/scholar?cluster=8874332666353389507&hl=en&as_sdt=0,5
2
2,021
Estimating informativeness of samples with Smooth Unique Information
15
iclr
4
0
2023-06-18 09:25:33.520000
https://github.com/awslabs/aws-cv-unique-information
9
Estimating informativeness of samples with smooth unique information
https://scholar.google.com/scholar?cluster=9537970110591918556&hl=en&as_sdt=0,33
3
2,021
Accurate Learning of Graph Representations with Graph Multiset Pooling
80
iclr
19
0
2023-06-18 09:25:33.723000
https://github.com/JinheonBaek/GMT
74
Accurate learning of graph representations with graph multiset pooling
https://scholar.google.com/scholar?cluster=8033778925255724792&hl=en&as_sdt=0,11
2
2,021
Large Batch Simulation for Deep Reinforcement Learning
15
iclr
5
0
2023-06-18 09:25:33.931000
https://github.com/shacklettbp/bps-nav
25
Large batch simulation for deep reinforcement learning
https://scholar.google.com/scholar?cluster=11450590688187242744&hl=en&as_sdt=0,10
3
2,021
Personalized Federated Learning with First Order Model Optimization
153
iclr
9
2
2023-06-18 09:25:34.135000
https://github.com/NVlabs/FedFomo
27
Personalized federated learning with first order model optimization
https://scholar.google.com/scholar?cluster=7443475779505959951&hl=en&as_sdt=0,43
6
2,021
Knowledge Distillation as Semiparametric Inference
17
iclr
5
0
2023-06-18 09:25:34.347000
https://github.com/microsoft/semiparametric-distillation
9
Knowledge distillation as semiparametric inference
https://scholar.google.com/scholar?cluster=13102643237666737869&hl=en&as_sdt=0,5
6
2,021
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
98
iclr
19
0
2023-06-18 09:25:34.563000
https://github.com/watchernyu/REDQ
114
Randomized ensembled double q-learning: Learning fast without a model
https://scholar.google.com/scholar?cluster=14970286903447223266&hl=en&as_sdt=0,5
5
2,021
Adapting to Reward Progressivity via Spectral Reinforcement Learning
1
iclr
0
0
2023-06-18 09:25:34.767000
https://github.com/mchldann/SpectralDQN
2
Adapting to Reward Progressivity via Spectral Reinforcement Learning
https://scholar.google.com/scholar?cluster=5001746864239325821&hl=en&as_sdt=0,14
1
2,021
Reset-Free Lifelong Learning with Skill-Space Planning
32
iclr
12
1
2023-06-18 09:25:34.973000
https://github.com/kzl/lifelong_rl
88
Reset-free lifelong learning with skill-space planning
https://scholar.google.com/scholar?cluster=9940357312981411546&hl=en&as_sdt=0,5
5
2,021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
0
iclr
0
0
2023-06-18 09:25:35.182000
https://github.com/chycharlie/robust-bn-faster
0
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
https://scholar.google.com/scholar?cluster=15264124860839826525&hl=en&as_sdt=0,11
1
2,021
Teaching Temporal Logics to Neural Networks
37
iclr
2
0
2023-06-18 09:25:35.386000
https://github.com/reactive-systems/deepltl
22
Teaching temporal logics to neural networks
https://scholar.google.com/scholar?cluster=12153070486471346373&hl=en&as_sdt=0,5
8
2,021
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
48
iclr
2
2
2023-06-18 09:25:35.590000
https://github.com/jakesnell/ove-polya-gamma-gp
6
Bayesian Few-Shot Classification with One-vs-Each P\'olya-Gamma Augmented Gaussian Processes
https://scholar.google.com/scholar?cluster=6827153911215871406&hl=en&as_sdt=0,34
2
2,021
Parameter-Based Value Functions
16
iclr
0
0
2023-06-18 09:25:35.795000
https://github.com/ff93/parameter-based-value-functions
4
Parameter-based value functions
https://scholar.google.com/scholar?cluster=12104932670063298799&hl=en&as_sdt=0,5
1
2,021
Hyperbolic Neural Networks++
80
iclr
6
1
2023-06-18 09:25:35.998000
https://github.com/mil-tokyo/hyperbolic_nn_plusplus
50
Hyperbolic neural networks++
https://scholar.google.com/scholar?cluster=13702563246653838309&hl=en&as_sdt=0,33
5
2,021
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
10
iclr
4
2
2023-06-18 09:25:36.206000
https://github.com/tgcsaba/seq2tens
26
Seq2tens: An efficient representation of sequences by low-rank tensor projections
https://scholar.google.com/scholar?cluster=14845817599481722738&hl=en&as_sdt=0,30
5
2,021
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization
28
iclr
11
3
2023-06-18 09:25:36.416000
https://github.com/FOCAL-ICLR/FOCAL-ICLR
40
Focal: Efficient fully-offline meta-reinforcement learning via distance metric learning and behavior regularization
https://scholar.google.com/scholar?cluster=9761035246816366860&hl=en&as_sdt=0,47
2
2,021
Generating Adversarial Computer Programs using Optimized Obfuscations
22
iclr
4
2
2023-06-18 09:25:36.620000
https://github.com/ALFA-group/adversarial-code-generation
19
Generating adversarial computer programs using optimized obfuscations
https://scholar.google.com/scholar?cluster=1001230882267147217&hl=en&as_sdt=0,5
4
2,021
CPR: Classifier-Projection Regularization for Continual Learning
36
iclr
5
1
2023-06-18 09:25:36.855000
https://github.com/csm9493/CPR_CL
10
CPR: classifier-projection regularization for continual learning
https://scholar.google.com/scholar?cluster=17725325187082298099&hl=en&as_sdt=0,14
2
2,021
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images
17
iclr
5
1
2023-06-18 09:25:37.058000
https://github.com/csm9493/GAN2GAN
28
GAN2GAN: Generative noise learning for blind denoising with single noisy images
https://scholar.google.com/scholar?cluster=5021545804729568427&hl=en&as_sdt=0,44
3
2,021
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
9
iclr
0
0
2023-06-18 09:25:37.262000
https://github.com/zpbao/bowtie_networks
0
Bowtie networks: Generative modeling for joint few-shot recognition and novel-view synthesis
https://scholar.google.com/scholar?cluster=4751463230610145393&hl=en&as_sdt=0,5
1
2,021
Taming GANs with Lookahead-Minmax
19
iclr
7
0
2023-06-18 09:25:37.465000
https://github.com/Chavdarova/LAGAN-Lookahead_Minimax
14
Taming GANs with lookahead-minmax
https://scholar.google.com/scholar?cluster=14906130844734900788&hl=en&as_sdt=0,5
4
2,021
Is Attention Better Than Matrix Decomposition?
74
iclr
20
0
2023-06-18 09:25:37.668000
https://github.com/Gsunshine/Enjoy-Hamburger
292
Is attention better than matrix decomposition?
https://scholar.google.com/scholar?cluster=14362607193647727267&hl=en&as_sdt=0,36
8
2,021
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers
79
iclr
4
0
2023-06-18 09:25:37.872000
https://github.com/kaidixu/LiRPA_Verify
15
Fast and complete: Enabling complete neural network verification with rapid and massively parallel incomplete verifiers
https://scholar.google.com/scholar?cluster=7107853993141989483&hl=en&as_sdt=0,6
4
2,021
A Geometric Analysis of Deep Generative Image Models and Its Applications
58
iclr
4
1
2023-06-18 09:25:38.076000
https://github.com/Animadversio/GAN-Geometry
38
The geometry of deep generative image models and its applications
https://scholar.google.com/scholar?cluster=1386616180509191154&hl=en&as_sdt=0,5
3
2,021
Solving Compositional Reinforcement Learning Problems via Task Reduction
16
iclr
1
0
2023-06-18 09:25:38.279000
https://github.com/IrisLi17/self-imitation-via-reduction
14
Solving compositional reinforcement learning problems via task reduction
https://scholar.google.com/scholar?cluster=15628616147808752058&hl=en&as_sdt=0,23
1
2,021
Acting in Delayed Environments with Non-Stationary Markov Policies
12
iclr
5
0
2023-06-18 09:25:38.483000
https://github.com/galdl/rl_delay_basic
8
Acting in delayed environments with non-stationary markov policies
https://scholar.google.com/scholar?cluster=17360966560322895494&hl=en&as_sdt=0,33
1
2,021
Learnable Embedding sizes for Recommender Systems
44
iclr
9
0
2023-06-18 09:25:38.686000
https://github.com/ssui-liu/learnable-embed-sizes-for-RecSys
54
Learnable embedding sizes for recommender systems
https://scholar.google.com/scholar?cluster=803326739583596992&hl=en&as_sdt=0,33
2
2,021
Simple Spectral Graph Convolution
158
iclr
16
15
2023-06-18 09:25:38.890000
https://github.com/allenhaozhu/SSGC
70
Simple spectral graph convolution
https://scholar.google.com/scholar?cluster=3312425761995361615&hl=en&as_sdt=0,5
5
2,021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
12
iclr
0
1
2023-06-18 09:43:24.233000
https://github.com/conditionWang/NTL
21
Non-transferable learning: A new approach for model ownership verification and applicability authorization
https://scholar.google.com/scholar?cluster=9579671006829239762&hl=en&as_sdt=0,31
2
2,022
Neural Structured Prediction for Inductive Node Classification
6
iclr
2
2
2023-06-18 09:43:24.437000
https://github.com/deepgraphlearning/spn
27
Neural structured prediction for inductive node classification
https://scholar.google.com/scholar?cluster=2079533968187968682&hl=en&as_sdt=0,5
4
2,022
Data-Efficient Graph Grammar Learning for Molecular Generation
16
iclr
21
4
2023-06-18 09:43:24.640000
https://github.com/gmh14/data_efficient_grammar
76
Data-efficient graph grammar learning for molecular generation
https://scholar.google.com/scholar?cluster=3349437997127524473&hl=en&as_sdt=0,5
2
2,022
Weighted Training for Cross-Task Learning
16
iclr
0
0
2023-06-18 09:43:24.843000
https://github.com/HornHehhf/TAWT
0
Weighted training for cross-task learning
https://scholar.google.com/scholar?cluster=5570518371918150850&hl=en&as_sdt=0,22
0
2,022
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling
21
iclr
16
7
2023-06-18 09:43:25.047000
https://github.com/magenta/midi-ddsp
265
MIDI-DDSP: Detailed control of musical performance via hierarchical modeling
https://scholar.google.com/scholar?cluster=13729627625392909520&hl=en&as_sdt=0,4
11
2,022
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
93
iclr
31
23
2023-06-18 09:43:25.249000
https://github.com/alipay/Pyraformer
164
Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
https://scholar.google.com/scholar?cluster=7428445395903169510&hl=en&as_sdt=0,5
3
2,022
StyleAlign: Analysis and Applications of Aligned StyleGAN Models
31
iclr
5
6
2023-06-18 09:43:25.452000
https://github.com/betterze/StyleAlign
145
Stylealign: Analysis and applications of aligned stylegan models
https://scholar.google.com/scholar?cluster=11079296793136133967&hl=en&as_sdt=0,44
18
2,022
Efficiently Modeling Long Sequences with Structured State Spaces
127
iclr
161
22
2023-06-18 09:43:25.655000
https://github.com/hazyresearch/state-spaces
1,219
Efficiently modeling long sequences with structured state spaces
https://scholar.google.com/scholar?cluster=8624959095392391416&hl=en&as_sdt=0,5
42
2,022
Large Language Models Can Be Strong Differentially Private Learners
105
iclr
17
4
2023-06-18 09:43:25.857000
https://github.com/lxuechen/private-transformers
101
Large language models can be strong differentially private learners
https://scholar.google.com/scholar?cluster=12835205672391916982&hl=en&as_sdt=0,5
5
2,022
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation
142
iclr
47
8
2023-06-18 09:43:26.060000
https://github.com/minkaixu/geodiff
222
Geodiff: A geometric diffusion model for molecular conformation generation
https://scholar.google.com/scholar?cluster=4830391195637525286&hl=en&as_sdt=0,31
6
2,022
Learning Strides in Convolutional Neural Networks
22
iclr
6
2
2023-06-18 09:43:26.262000
https://github.com/google-research/diffstride
121
Learning strides in convolutional neural networks
https://scholar.google.com/scholar?cluster=1272651603956213806&hl=en&as_sdt=0,5
3
2,022
Understanding over-squashing and bottlenecks on graphs via curvature
136
iclr
7
2
2023-06-18 09:43:26.465000
https://github.com/jctops/understanding-oversquashing
30
Understanding over-squashing and bottlenecks on graphs via curvature
https://scholar.google.com/scholar?cluster=13989740203838615686&hl=en&as_sdt=0,33
3
2,022
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme
23
iclr
93
15
2023-06-18 09:43:26.668000
https://github.com/huawei-noah/Speech-Backbones
396
Diffusion-based voice conversion with fast maximum likelihood sampling scheme
https://scholar.google.com/scholar?cluster=17487782166390673105&hl=en&as_sdt=0,36
26
2,022
Meta-Learning with Fewer Tasks through Task Interpolation
30
iclr
3
4
2023-06-18 09:43:26.871000
https://github.com/huaxiuyao/mlti
25
Meta-learning with fewer tasks through task interpolation
https://scholar.google.com/scholar?cluster=17468967265592568520&hl=en&as_sdt=0,5
3
2,022
Discovering and Explaining the Representation Bottleneck of DNNS
25
iclr
1
0
2023-06-18 09:43:27.074000
https://github.com/nebularaid2000/bottleneck
34
Discovering and explaining the representation bottleneck of dnns
https://scholar.google.com/scholar?cluster=6321522337570019810&hl=en&as_sdt=0,33
1
2,022
Sparse Communication via Mixed Distributions
5
iclr
1
0
2023-06-18 09:43:27.278000
https://github.com/deep-spin/sparse-communication
11
Sparse communication via mixed distributions
https://scholar.google.com/scholar?cluster=9090566515327405784&hl=en&as_sdt=0,31
5
2,022
Finetuned Language Models are Zero-Shot Learners
589
iclr
111
12
2023-06-18 09:43:27.481000
https://github.com/google-research/flan
966
Finetuned language models are zero-shot learners
https://scholar.google.com/scholar?cluster=3582238432300098245&hl=en&as_sdt=0,5
28
2,022
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
13
iclr
13
0
2023-06-18 09:43:27.684000
https://github.com/snap-research/f8net
89
F8net: Fixed-point 8-bit only multiplication for network quantization
https://scholar.google.com/scholar?cluster=9661231870650652462&hl=en&as_sdt=0,15
14
2,022
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design
12
iclr
10
1
2023-06-18 09:43:27.886000
https://github.com/Khrylx/Transform2Act
38
Transform2act: Learning a transform-and-control policy for efficient agent design
https://scholar.google.com/scholar?cluster=871690359216860608&hl=en&as_sdt=0,34
3
2,022
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
4
iclr
0
0
2023-06-18 09:43:28.089000
https://github.com/boreshkinai/protores
1
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
https://scholar.google.com/scholar?cluster=4035812674200440521&hl=en&as_sdt=0,5
1
2,022
CycleMLP: A MLP-like Architecture for Dense Prediction
130
iclr
26
2
2023-06-18 09:43:28.293000
https://github.com/ShoufaChen/CycleMLP
259
Cyclemlp: A mlp-like architecture for dense prediction
https://scholar.google.com/scholar?cluster=1322906163224921925&hl=en&as_sdt=0,23
3
2,022
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
103
iclr
11
0
2023-06-18 09:43:28.496000
https://github.com/baofff/Analytic-DPM
138
Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models
https://scholar.google.com/scholar?cluster=799884416375929942&hl=en&as_sdt=0,5
2
2,022
The Information Geometry of Unsupervised Reinforcement Learning
17
iclr
3
1
2023-06-18 09:43:28.698000
https://github.com/ben-eysenbach/info_geometry
19
The information geometry of unsupervised reinforcement learning
https://scholar.google.com/scholar?cluster=1840572653029125797&hl=en&as_sdt=0,33
3
2,022
Language modeling via stochastic processes
15
iclr
11
4
2023-06-18 09:43:28.901000
https://github.com/rosewang2008/language_modeling_via_stochastic_processes
120
Language modeling via stochastic processes
https://scholar.google.com/scholar?cluster=15213113550965798696&hl=en&as_sdt=0,33
7
2,022
Learning to Downsample for Segmentation of Ultra-High Resolution Images
17
iclr
6
3
2023-06-18 09:43:29.106000
https://github.com/lxasqjc/Deformation-Segmentation
35
Learning to downsample for segmentation of ultra-high resolution images
https://scholar.google.com/scholar?cluster=11044772985924964414&hl=en&as_sdt=0,7
2
2,022
Variational Neural Cellular Automata
6
iclr
3
1
2023-06-18 09:43:29.308000
https://github.com/rasmusbergpalm/vnca
40
Variational neural cellular automata
https://scholar.google.com/scholar?cluster=8036499533836302391&hl=en&as_sdt=0,33
7
2,022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
4
iclr
3
0
2023-06-18 09:43:29.512000
https://github.com/shams-sam/fedoptim
10
Recycling model updates in federated learning: Are gradient subspaces low-rank?
https://scholar.google.com/scholar?cluster=11357128239739448107&hl=en&as_sdt=0,5
1
2,022
Sample and Computation Redistribution for Efficient Face Detection
49
iclr
4,436
910
2023-06-18 09:43:29.715000
https://github.com/deepinsight/insightface
16,066
Sample and computation redistribution for efficient face detection
https://scholar.google.com/scholar?cluster=249972322094479786&hl=en&as_sdt=0,50
479
2,022
Sound Adversarial Audio-Visual Navigation
12
iclr
0
1
2023-06-18 09:43:29.918000
https://github.com/yyf17/saavn
12
Sound adversarial audio-visual navigation
https://scholar.google.com/scholar?cluster=14696002671492155830&hl=en&as_sdt=0,3
2
2,022
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
16
iclr
1
0
2023-06-18 09:43:30.120000
https://github.com/rajesh-lab/nurd-code-public
6
Out-of-distribution generalization in the presence of nuisance-induced spurious correlations
https://scholar.google.com/scholar?cluster=11021328735736547096&hl=en&as_sdt=0,11
2
2,022
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis
24
iclr
4
0
2023-06-18 09:43:30.323000
https://github.com/junfenggo/aeva-blackbox-backdoor-detection-main
22
Aeva: Black-box backdoor detection using adversarial extreme value analysis
https://scholar.google.com/scholar?cluster=1218468715415331882&hl=en&as_sdt=0,43
0
2,022
Top-label calibration and multiclass-to-binary reductions
17
iclr
5
0
2023-06-18 09:43:30.535000
https://github.com/aigen/df-posthoc-calibration
31
Top-label calibration and multiclass-to-binary reductions
https://scholar.google.com/scholar?cluster=5210721734640980720&hl=en&as_sdt=0,33
1
2,022
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future
9
iclr
2
0
2023-06-18 09:43:30.738000
https://github.com/AdityaLab/Back2Future
7
Back2future: Leveraging backfill dynamics for improving real-time predictions in future
https://scholar.google.com/scholar?cluster=4140733824788970279&hl=en&as_sdt=0,44
3
2,022
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective
9
iclr
3
1
2023-06-18 09:43:30.940000
https://github.com/albietz/ckn_kernel
13
Approximation and learning with deep convolutional models: a kernel perspective
https://scholar.google.com/scholar?cluster=16497248736027137488&hl=en&as_sdt=0,5
2
2,022
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
5
iclr
7
0
2023-06-18 09:43:31.143000
https://github.com/google-research/crossbeam
35
CrossBeam: Learning to search in bottom-up program synthesis
https://scholar.google.com/scholar?cluster=14342383468818615250&hl=en&as_sdt=0,5
7
2,022
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining
12
iclr
1
1
2023-06-18 09:43:31.355000
https://github.com/AhmedImtiazPrio/MaGNET
24
Magnet: Uniform sampling from deep generative network manifolds without retraining
https://scholar.google.com/scholar?cluster=18438387827991567060&hl=en&as_sdt=0,5
1
2,022
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
5
iclr
3
3
2023-06-18 09:43:31.558000
https://github.com/liusiyan/PI3NN
7
PI3NN: Out-of-distribution-aware prediction intervals from three neural networks
https://scholar.google.com/scholar?cluster=9729426911336956537&hl=en&as_sdt=0,5
3
2,022
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation
6
iclr
0
0
2023-06-18 09:43:31.761000
https://github.com/yuqingd/cusp
11
It takes four to tango: Multiagent selfplay for automatic curriculum generation
https://scholar.google.com/scholar?cluster=12921508805700086972&hl=en&as_sdt=0,33
2
2,022
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
24
iclr
2
1
2023-06-18 09:43:31.965000
https://github.com/ai-secure/crop
5
Crop: Certifying robust policies for reinforcement learning through functional smoothing
https://scholar.google.com/scholar?cluster=15014236512905424649&hl=en&as_sdt=0,5
2
2,022
Neural Link Prediction with Walk Pooling
25
iclr
2
1
2023-06-18 09:43:32.169000
https://github.com/dadacheng/walkpooling
44
Neural link prediction with walk pooling
https://scholar.google.com/scholar?cluster=11799693892452603057&hl=en&as_sdt=0,5
3
2,022
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators
10
iclr
1
3
2023-06-18 09:43:32.372000
https://github.com/microsoft/amos
23
Pretraining text encoders with adversarial mixture of training signal generators
https://scholar.google.com/scholar?cluster=9770552085778615131&hl=en&as_sdt=0,5
5
2,022
Non-Parallel Text Style Transfer with Self-Parallel Supervision
2
iclr
0
4
2023-06-18 09:43:32.577000
https://github.com/dapangliu/lamer
7
Non-Parallel Text Style Transfer with Self-Parallel Supervision
https://scholar.google.com/scholar?cluster=14757482519407793869&hl=en&as_sdt=0,33
2
2,022
Can an Image Classifier Suffice For Action Recognition?
8
iclr
8
3
2023-06-18 09:43:32.780000
https://github.com/ibm/sifar-pytorch
49
Can an image classifier suffice for action recognition?
https://scholar.google.com/scholar?cluster=13822718971656558432&hl=en&as_sdt=0,5
2
2,022
Interacting Contour Stochastic Gradient Langevin Dynamics
4
iclr
1
0
2023-06-18 09:43:32.983000
https://github.com/waynedw/interacting-contour-stochastic-gradient-langevin-dynamics
6
Interacting Contour Stochastic Gradient Langevin Dynamics
https://scholar.google.com/scholar?cluster=811536455190019406&hl=en&as_sdt=0,14
2
2,022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?
25
iclr
5
0
2023-06-18 09:43:33.186000
https://github.com/rice-eic/patch-fool
20
Patch-fool: Are vision transformers always robust against adversarial perturbations?
https://scholar.google.com/scholar?cluster=1831846608432102028&hl=en&as_sdt=0,10
1
2,022
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
49
iclr
5
5
2023-06-18 09:43:33.388000
https://github.com/google-research/adamatch
54
Adamatch: A unified approach to semi-supervised learning and domain adaptation
https://scholar.google.com/scholar?cluster=9221339163655588943&hl=en&as_sdt=0,5
10
2,022
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
25
iclr
1
5
2023-06-18 09:43:33.591000
https://github.com/eth-sri/mn-bab
4
Complete verification via multi-neuron relaxation guided branch-and-bound
https://scholar.google.com/scholar?cluster=14769723255634252083&hl=en&as_sdt=0,41
5
2,022
Distribution Compression in Near-Linear Time
6
iclr
2
0
2023-06-18 09:43:33.796000
https://github.com/microsoft/goodpoints
31
Distribution compression in near-linear time
https://scholar.google.com/scholar?cluster=10525101075406225014&hl=en&as_sdt=0,5
9
2,022
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks
36
iclr
6
2
2023-06-18 09:43:33.999000
https://github.com/ZPdesu/MindTheGap
43
Mind the gap: Domain gap control for single shot domain adaptation for generative adversarial networks
https://scholar.google.com/scholar?cluster=12451250368858284023&hl=en&as_sdt=0,31
5
2,022
On Evaluation Metrics for Graph Generative Models
16
iclr
3
0
2023-06-18 09:43:34.208000
https://github.com/uoguelph-mlrg/ggm-metrics
16
On evaluation metrics for graph generative models
https://scholar.google.com/scholar?cluster=7803067086316285274&hl=en&as_sdt=0,33
2
2,022
Graph Condensation for Graph Neural Networks
43
iclr
10
2
2023-06-18 09:43:34.423000
https://github.com/chandlerbang/gcond
72
Graph condensation for graph neural networks
https://scholar.google.com/scholar?cluster=14491892748486687067&hl=en&as_sdt=0,5
4
2,022
Minimax Optimization with Smooth Algorithmic Adversaries
7
iclr
2
0
2023-06-18 09:43:34.628000
https://github.com/fiezt/minmax-opt-smooth-adversary
4
Minimax optimization with smooth algorithmic adversaries
https://scholar.google.com/scholar?cluster=11061521782135546152&hl=en&as_sdt=0,32
1
2,022
Leveraging unlabeled data to predict out-of-distribution performance
41
iclr
0
1
2023-06-18 09:43:34.831000
https://github.com/saurabhgarg1996/ATC_code
8
Leveraging unlabeled data to predict out-of-distribution performance
https://scholar.google.com/scholar?cluster=5646390275734787221&hl=en&as_sdt=0,39
1
2,022
VC dimension of partially quantized neural networks in the overparametrized regime
2
iclr
0
0
2023-06-18 09:43:35.034000
https://github.com/yutongwangumich/hann
1
Vc dimension of partially quantized neural networks in the overparametrized regime
https://scholar.google.com/scholar?cluster=11387455269961935968&hl=en&as_sdt=0,33
2
2,022
Optimal Representations for Covariate Shift
28
iclr
3
1
2023-06-18 09:43:35.237000
https://github.com/ryoungj/optdom
19
Optimal representations for covariate shift
https://scholar.google.com/scholar?cluster=2022985710361753356&hl=en&as_sdt=0,10
2
2,022
Fortuitous Forgetting in Connectionist Networks
11
iclr
4
1
2023-06-18 09:43:35.441000
https://github.com/hlml/fortuitous_forgetting
18
Fortuitous forgetting in connectionist networks
https://scholar.google.com/scholar?cluster=603488555859414419&hl=en&as_sdt=0,37
2
2,022
Contextualized Scene Imagination for Generative Commonsense Reasoning
11
iclr
2
1
2023-06-18 09:43:35.645000
https://github.com/wangpf3/imagine-and-verbalize
11
Contextualized scene imagination for generative commonsense reasoning
https://scholar.google.com/scholar?cluster=6593478295513742090&hl=en&as_sdt=0,27
1
2,022
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals
33
iclr
2
0
2023-06-18 09:43:35.848000
https://github.com/asmadotgh/dissect
11
Dissect: Disentangled simultaneous explanations via concept traversals
https://scholar.google.com/scholar?cluster=4475466485614086287&hl=en&as_sdt=0,33
2
2,022
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
5
iclr
10
3
2023-06-18 09:43:36.051000
https://github.com/reml-lab/hetvae
24
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
https://scholar.google.com/scholar?cluster=3281039634260173349&hl=en&as_sdt=0,5
3
2,022
Bayesian Framework for Gradient Leakage
16
iclr
3
1
2023-06-18 09:43:36.254000
https://github.com/eth-sri/bayes-framework-leakage
8
Bayesian framework for gradient leakage
https://scholar.google.com/scholar?cluster=14925580502725272742&hl=en&as_sdt=0,43
6
2,022
Maximum n-times Coverage for Vaccine Design
4
iclr
7
1
2023-06-18 09:43:36.458000
https://github.com/gifford-lab/optivax
22
Maximum n-times coverage for vaccine design
https://scholar.google.com/scholar?cluster=17184876342921372695&hl=en&as_sdt=0,5
16
2,022
KL Guided Domain Adaptation
14
iclr
2
0
2023-06-18 09:43:36.661000
https://github.com/atuannguyen/kl
6
KL guided domain adaptation
https://scholar.google.com/scholar?cluster=17961201142994065292&hl=en&as_sdt=0,5
2
2,022
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
42
iclr
9
1
2023-06-18 09:43:36.864000
https://github.com/gnnaskernel/gnnaskernel
51
From stars to subgraphs: Uplifting any GNN with local structure awareness
https://scholar.google.com/scholar?cluster=4598272290624376922&hl=en&as_sdt=0,5
3
2,022
Gradient Importance Learning for Incomplete Observations
6
iclr
2
0
2023-06-18 09:43:37.067000
https://github.com/gaoqitong/gradient-importance-learning
1
Gradient importance learning for incomplete observations
https://scholar.google.com/scholar?cluster=3408438792226712835&hl=en&as_sdt=0,33
2
2,022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
8
iclr
0
0
2023-06-18 09:43:37.271000
https://github.com/berleon/do_users_benefit_from_interpretable_vision
4
Do users benefit from interpretable vision? a user study, baseline, and dataset
https://scholar.google.com/scholar?cluster=17643359548454161307&hl=en&as_sdt=0,5
3
2,022
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL
25
iclr
3
1
2023-06-18 09:43:37.475000
https://github.com/umd-huang-lab/paad_adv_rl
3
Who is the strongest enemy? towards optimal and efficient evasion attacks in deep rl
https://scholar.google.com/scholar?cluster=16507433832957753266&hl=en&as_sdt=0,5
2
2,022