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github-as-altmetric

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Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations
20
neurips
0
0
2023-06-16 15:10:32.896000
https://github.com/core-robotics-lab/personalized_neural_trees
3
Interpretable and personalized apprenticeship scheduling: Learning interpretable scheduling policies from heterogeneous user demonstrations
https://scholar.google.com/scholar?cluster=14212646123511615039&hl=en&as_sdt=0,33
4
2,020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes
29
neurips
1
0
2023-06-16 15:10:33.088000
https://github.com/mxu34/mbrl-gpmm
25
Task-agnostic online reinforcement learning with an infinite mixture of gaussian processes
https://scholar.google.com/scholar?cluster=1015317596809472337&hl=en&as_sdt=0,44
5
2,020
Benchmarking Deep Learning Interpretability in Time Series Predictions
101
neurips
16
4
2023-06-16 15:10:33.280000
https://github.com/ayaabdelsalam91/TS-Interpretability-Benchmark
73
Benchmarking deep learning interpretability in time series predictions
https://scholar.google.com/scholar?cluster=15559999759803172954&hl=en&as_sdt=0,33
4
2,020
Federated Principal Component Analysis
34
neurips
6
0
2023-06-16 15:10:33.486000
https://github.com/andylamp/federated_pca
33
Federated principal component analysis
https://scholar.google.com/scholar?cluster=5556638479744885012&hl=en&as_sdt=0,33
3
2,020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
26
neurips
2
0
2023-06-16 15:10:33.678000
https://github.com/alevine0/patchSmoothing
15
(De) Randomized smoothing for certifiable defense against patch attacks
https://scholar.google.com/scholar?cluster=7126332887163750199&hl=en&as_sdt=0,14
2
2,020
SMYRF - Efficient Attention using Asymmetric Clustering
24
neurips
5
0
2023-06-16 15:10:33.870000
https://github.com/giannisdaras/smyrf
47
Smyrf-efficient attention using asymmetric clustering
https://scholar.google.com/scholar?cluster=3416137016272222933&hl=en&as_sdt=0,33
3
2,020
Neutralizing Self-Selection Bias in Sampling for Sortition
23
neurips
0
0
2023-06-16 15:10:34.063000
https://github.com/pgoelz/endtoend
0
Neutralizing self-selection bias in sampling for sortition
https://scholar.google.com/scholar?cluster=12253485634374856447&hl=en&as_sdt=0,36
3
2,020
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning
9
neurips
1
4
2023-06-16 15:10:34.286000
https://github.com/chandar-lab/LoCA
4
The LoCA regret: a consistent metric to evaluate model-based behavior in reinforcement learning
https://scholar.google.com/scholar?cluster=1039496506051846849&hl=en&as_sdt=0,5
4
2,020
Bootstrapping neural processes
19
neurips
5
1
2023-06-16 15:10:34.490000
https://github.com/juho-lee/bnp
24
Bootstrapping neural processes
https://scholar.google.com/scholar?cluster=10569982778154807572&hl=en&as_sdt=0,14
2
2,020
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
55
neurips
13
2
2023-06-16 15:10:34.683000
https://github.com/Stalence/erdos_neu
27
Erdos goes neural: an unsupervised learning framework for combinatorial optimization on graphs
https://scholar.google.com/scholar?cluster=6718013845786623075&hl=en&as_sdt=0,5
3
2,020
Neural Controlled Differential Equations for Irregular Time Series
255
neurips
67
3
2023-06-16 15:10:34.875000
https://github.com/patrick-kidger/NeuralCDE
528
Neural controlled differential equations for irregular time series
https://scholar.google.com/scholar?cluster=1622654869428402760&hl=en&as_sdt=0,5
18
2,020
Probabilistic Linear Solvers for Machine Learning
13
neurips
0
0
2023-06-16 15:10:35.068000
https://github.com/JonathanWenger/probabilistic-linear-solvers-for-ml
3
Probabilistic linear solvers for machine learning
https://scholar.google.com/scholar?cluster=1672427431265786249&hl=en&as_sdt=0,34
0
2,020
Multipole Graph Neural Operator for Parametric Partial Differential Equations
188
neurips
64
5
2023-06-16 15:10:35.280000
https://github.com/zongyi-li/graph-pde
188
Multipole graph neural operator for parametric partial differential equations
https://scholar.google.com/scholar?cluster=13318009799245280479&hl=en&as_sdt=0,31
14
2,020
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images
143
neurips
6
2
2023-06-16 15:10:35.480000
https://github.com/thunguyenphuoc/BlockGAN
42
Blockgan: Learning 3d object-aware scene representations from unlabelled images
https://scholar.google.com/scholar?cluster=10671381446972867942&hl=en&as_sdt=0,21
2
2,020
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables
22
neurips
3
1
2023-06-16 15:10:35.673000
https://github.com/JamesHujy/ELV
20
Towards interpretable natural language understanding with explanations as latent variables
https://scholar.google.com/scholar?cluster=922494767816650498&hl=en&as_sdt=0,33
2
2,020
The Mean-Squared Error of Double Q-Learning
10
neurips
1
0
2023-06-16 15:10:35.865000
https://github.com/wentaoweng/The-Mean-Squared-Error-of-Double-Q-Learning
2
The mean-squared error of double Q-learning
https://scholar.google.com/scholar?cluster=12658517305740432001&hl=en&as_sdt=0,47
1
2,020
Denoising Diffusion Probabilistic Models
2,458
neurips
212
17
2023-06-16 15:10:36.058000
https://github.com/hojonathanho/diffusion
2,132
Denoising diffusion probabilistic models
https://scholar.google.com/scholar?cluster=622631041436591387&hl=en&as_sdt=0,21
20
2,020
Barking up the right tree: an approach to search over molecule synthesis DAGs
41
neurips
6
2
2023-06-16 15:10:36.250000
https://github.com/john-bradshaw/synthesis-dags
42
Barking up the right tree: an approach to search over molecule synthesis dags
https://scholar.google.com/scholar?cluster=13448331198377833406&hl=en&as_sdt=0,33
1
2,020
Bandit Samplers for Training Graph Neural Networks
32
neurips
2
2
2023-06-16 15:10:36.488000
https://github.com/xavierzw/ogb-geniepath-bs
3
Bandit samplers for training graph neural networks
https://scholar.google.com/scholar?cluster=1856670325879954633&hl=en&as_sdt=0,33
1
2,020
Sampling from a k-DPP without looking at all items
21
neurips
47
3
2023-06-16 15:10:36.681000
https://github.com/guilgautier/DPPy
204
Sampling from a k-DPP without looking at all items
https://scholar.google.com/scholar?cluster=13828986995980178437&hl=en&as_sdt=0,10
16
2,020
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence
27
neurips
3
0
2023-06-16 15:10:36.874000
https://github.com/BorgwardtLab/fMRI_Cubical_Persistence
13
Uncovering the topology of time-varying fMRI data using cubical persistence
https://scholar.google.com/scholar?cluster=11461528831299808646&hl=en&as_sdt=0,44
7
2,020
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
49
neurips
3
2
2023-06-16 15:10:37.067000
https://github.com/rmcong/CoADNet_NeurIPS20
18
CoADNet: Collaborative aggregation-and-distribution networks for co-salient object detection
https://scholar.google.com/scholar?cluster=8678285635240455625&hl=en&as_sdt=0,50
4
2,020
Regularized linear autoencoders recover the principal components, eventually
21
neurips
1
1
2023-06-16 15:10:37.274000
https://github.com/XuchanBao/linear-ae
14
Regularized linear autoencoders recover the principal components, eventually
https://scholar.google.com/scholar?cluster=12136029486551136178&hl=en&as_sdt=0,26
2
2,020
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
24
neurips
4
5
2023-06-16 15:10:37.474000
https://github.com/shenyunhang/UWSOD
20
UWSOD: Toward fully-supervised-level capacity weakly supervised object detection
https://scholar.google.com/scholar?cluster=9107656569803100242&hl=en&as_sdt=0,5
3
2,020
Curriculum learning for multilevel budgeted combinatorial problems
5
neurips
0
0
2023-06-16 15:10:37.666000
https://github.com/AdelNabli/MCN
3
Curriculum learning for multilevel budgeted combinatorial problems
https://scholar.google.com/scholar?cluster=1657047408095143576&hl=en&as_sdt=0,39
2
2,020
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data
26
neurips
3
0
2023-06-16 15:10:37.858000
https://github.com/AudeSportisse/PPCA_MNAR
1
Estimation and imputation in probabilistic principal component analysis with missing not at random data
https://scholar.google.com/scholar?cluster=2864178808450174600&hl=en&as_sdt=0,5
0
2,020
Correlation Robust Influence Maximization
1
neurips
0
1
2023-06-16 15:10:38.051000
https://github.com/justanothergithubber/corr-im
7
Correlation robust influence maximization
https://scholar.google.com/scholar?cluster=5585956565434768987&hl=en&as_sdt=0,5
2
2,020
Neuronal Gaussian Process Regression
914
neurips
0
0
2023-06-16 15:10:38.243000
https://github.com/j-friedrich/neuronalGPR
2
Deep neural networks as gaussian processes
https://scholar.google.com/scholar?cluster=6709509064500094656&hl=en&as_sdt=0,7
1
2,020
Implicit Distributional Reinforcement Learning
10
neurips
3
1
2023-06-16 15:10:38.434000
https://github.com/zhougroup/IDAC
8
Implicit distributional reinforcement learning
https://scholar.google.com/scholar?cluster=15829252829546371290&hl=en&as_sdt=0,5
2
2,020
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
35
neurips
4
0
2023-06-16 15:10:38.626000
https://github.com/zhd96/pi-vae
30
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE
https://scholar.google.com/scholar?cluster=619618171802037739&hl=en&as_sdt=0,44
2
2,020
Interior Point Solving for LP-based prediction+optimisation
48
neurips
9
2
2023-06-16 15:10:38.819000
https://github.com/JayMan91/NeurIPSIntopt
14
Interior point solving for lp-based prediction+ optimisation
https://scholar.google.com/scholar?cluster=1533126665853318342&hl=en&as_sdt=0,33
2
2,020
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
25
neurips
0
0
2023-06-16 15:10:39.011000
https://github.com/romanpogodin/plausible-kernelized-bottleneck
5
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
https://scholar.google.com/scholar?cluster=18100053392278816994&hl=en&as_sdt=0,43
3
2,020
Understanding the Role of Training Regimes in Continual Learning
123
neurips
11
6
2023-06-16 15:10:39.202000
https://github.com/imirzadeh/stable-continual-learning
71
Understanding the role of training regimes in continual learning
https://scholar.google.com/scholar?cluster=13304877207545088213&hl=en&as_sdt=0,14
6
2,020
Training Stronger Baselines for Learning to Optimize
30
neurips
7
1
2023-06-16 15:10:39.395000
https://github.com/VITA-Group/L2O-Training-Techniques
25
Training stronger baselines for learning to optimize
https://scholar.google.com/scholar?cluster=16835534737946083220&hl=en&as_sdt=0,31
2
2,020
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss
35
neurips
3
1
2023-06-16 15:10:39.589000
https://github.com/yuruntian/HyNet
54
Hynet: Learning local descriptor with hybrid similarity measure and triplet loss
https://scholar.google.com/scholar?cluster=4475373303721859759&hl=en&as_sdt=0,10
5
2,020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
28
neurips
9
0
2023-06-16 15:10:39.791000
https://github.com/VITA-Group/Once-for-All-Adversarial-Training
40
Once-for-all adversarial training: In-situ tradeoff between robustness and accuracy for free
https://scholar.google.com/scholar?cluster=18012050461458046931&hl=en&as_sdt=0,5
9
2,020
Rotated Binary Neural Network
96
neurips
19
1
2023-06-16 15:10:40.004000
https://github.com/lmbxmu/RBNN
75
Rotated binary neural network
https://scholar.google.com/scholar?cluster=9922290527765380994&hl=en&as_sdt=0,43
7
2,020
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
10
neurips
1
0
2023-06-16 15:10:40.197000
https://github.com/lorenzodallamico/CoDeBetHe.jl
3
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian
https://scholar.google.com/scholar?cluster=926942398566929130&hl=en&as_sdt=0,5
1
2,020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
242
neurips
178
119
2023-06-16 15:10:40.389000
https://github.com/google/uncertainty-baselines
1,242
Simple and principled uncertainty estimation with deterministic deep learning via distance awareness
https://scholar.google.com/scholar?cluster=7900448883391646024&hl=en&as_sdt=0,36
20
2,020
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment
6
neurips
0
0
2023-06-16 15:10:40.582000
https://github.com/TavorB/adaptiveSpectral
0
Adaptive learning of rank-one models for efficient pairwise sequence alignment
https://scholar.google.com/scholar?cluster=669545011100513558&hl=en&as_sdt=0,46
3
2,020
Hierarchical nucleation in deep neural networks
15
neurips
2
0
2023-06-16 15:10:40.774000
https://github.com/diegodoimo/hierarchical_nucleation
6
Hierarchical nucleation in deep neural networks
https://scholar.google.com/scholar?cluster=12500887125921827469&hl=en&as_sdt=0,5
3
2,020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
1,009
neurips
106
12
2023-06-16 15:10:40.966000
https://github.com/tancik/fourier-feature-networks
1,030
Fourier features let networks learn high frequency functions in low dimensional domains
https://scholar.google.com/scholar?cluster=14572159759264088577&hl=en&as_sdt=0,10
21
2,020
Graph Geometry Interaction Learning
56
neurips
6
4
2023-06-16 15:10:41.159000
https://github.com/CheriseZhu/GIL
40
Graph geometry interaction learning
https://scholar.google.com/scholar?cluster=4238397629187106403&hl=en&as_sdt=0,5
3
2,020
Differentiable Augmentation for Data-Efficient GAN Training
393
neurips
171
23
2023-06-16 15:10:41.350000
https://github.com/mit-han-lab/data-efficient-gans
1,192
Differentiable augmentation for data-efficient gan training
https://scholar.google.com/scholar?cluster=6801864056016037549&hl=en&as_sdt=0,33
20
2,020
Heuristic Domain Adaptation
28
neurips
9
0
2023-06-16 15:10:41.543000
https://github.com/cuishuhao/HDA
56
Heuristic domain adaptation
https://scholar.google.com/scholar?cluster=5256770897520044696&hl=en&as_sdt=0,6
1
2,020
Learning Certified Individually Fair Representations
60
neurips
2
0
2023-06-16 15:10:41.734000
https://github.com/eth-sri/lcifr
23
Learning certified individually fair representations
https://scholar.google.com/scholar?cluster=5926392332798964524&hl=en&as_sdt=0,5
10
2,020
Automatic Curriculum Learning through Value Disagreement
65
neurips
11
2
2023-06-16 15:10:41.926000
https://github.com/zzyunzhi/vds
24
Automatic curriculum learning through value disagreement
https://scholar.google.com/scholar?cluster=6154929220771761601&hl=en&as_sdt=0,47
2
2,020
The NetHack Learning Environment
94
neurips
102
16
2023-06-16 15:10:42.118000
https://github.com/facebookresearch/nle
870
The nethack learning environment
https://scholar.google.com/scholar?cluster=11088505534192632756&hl=en&as_sdt=0,23
29
2,020
Language and Visual Entity Relationship Graph for Agent Navigation
76
neurips
4
0
2023-06-16 15:10:42.309000
https://github.com/YicongHong/Entity-Graph-VLN
37
Language and visual entity relationship graph for agent navigation
https://scholar.google.com/scholar?cluster=6555828545880639427&hl=en&as_sdt=0,33
3
2,020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping
23
neurips
11
2
2023-06-16 15:10:42.501000
https://github.com/CherBass/ICAM
50
ICAM: interpretable classification via disentangled representations and feature attribution mapping
https://scholar.google.com/scholar?cluster=2236890371359287899&hl=en&as_sdt=0,32
4
2,020
Boosting Adversarial Training with Hypersphere Embedding
101
neurips
13
1
2023-06-16 15:10:42.693000
https://github.com/ShawnXYang/AT_HE
31
Boosting adversarial training with hypersphere embedding
https://scholar.google.com/scholar?cluster=9611585396722104249&hl=en&as_sdt=0,36
3
2,020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs
406
neurips
15
1
2023-06-16 15:10:42.885000
https://github.com/GemsLab/H2GCN
77
Beyond homophily in graph neural networks: Current limitations and effective designs
https://scholar.google.com/scholar?cluster=13096699314940165476&hl=en&as_sdt=0,5
4
2,020
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
10
neurips
1
0
2023-06-16 15:10:43.077000
https://github.com/sskoul/ID2216
4
Efficient online learning of optimal rankings: Dimensionality reduction via gradient descent
https://scholar.google.com/scholar?cluster=17654222550374080796&hl=en&as_sdt=0,48
1
2,020
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
39
neurips
102
34
2023-06-16 15:10:43.269000
https://github.com/VLL-HD/FrEIA
663
Training normalizing flows with the information bottleneck for competitive generative classification
https://scholar.google.com/scholar?cluster=7085738876441578622&hl=en&as_sdt=0,49
20
2,020
Deep Statistical Solvers
14
neurips
3
1
2023-06-16 15:10:43.466000
https://github.com/bdonon/DeepStatisticalSolvers
4
Deep statistical solvers
https://scholar.google.com/scholar?cluster=5761359200414766377&hl=en&as_sdt=0,5
1
2,020
Distributionally Robust Parametric Maximum Likelihood Estimation
9
neurips
0
0
2023-06-16 15:10:43.658000
https://github.com/angelosgeorghiou/DR-Parametric-MLE
2
Distributionally robust parametric maximum likelihood estimation
https://scholar.google.com/scholar?cluster=11917985486247358648&hl=en&as_sdt=0,33
1
2,020
Deep Transformation-Invariant Clustering
26
neurips
10
0
2023-06-16 15:10:43.850000
https://github.com/monniert/dti-clustering
67
Deep transformation-invariant clustering
https://scholar.google.com/scholar?cluster=10717088515136058764&hl=en&as_sdt=0,5
3
2,020
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree
17
neurips
0
0
2023-06-16 15:10:44.043000
https://github.com/functionadvanced/basis_pursuit_code
0
Overfitting can be harmless for basis pursuit, but only to a degree
https://scholar.google.com/scholar?cluster=12884966030435629698&hl=en&as_sdt=0,5
2
2,020
Improving Generalization in Reinforcement Learning with Mixture Regularization
64
neurips
8
1
2023-06-16 15:10:44.234000
https://github.com/kaixin96/mixreg
30
Improving generalization in reinforcement learning with mixture regularization
https://scholar.google.com/scholar?cluster=3278230157932570215&hl=en&as_sdt=0,5
3
2,020
Learning from Aggregate Observations
21
neurips
0
0
2023-06-16 15:10:44.427000
https://github.com/YivanZhang/lio
9
Learning from aggregate observations
https://scholar.google.com/scholar?cluster=17146709459337763149&hl=en&as_sdt=0,33
2
2,020
Subgraph Neural Networks
78
neurips
31
14
2023-06-16 15:10:44.619000
https://github.com/mims-harvard/SubGNN
155
Subgraph neural networks
https://scholar.google.com/scholar?cluster=12519651667437268024&hl=en&as_sdt=0,44
9
2,020
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
260
neurips
146
45
2023-06-16 15:10:44.813000
https://github.com/jaywalnut310/glow-tts
554
Glow-tts: A generative flow for text-to-speech via monotonic alignment search
https://scholar.google.com/scholar?cluster=4995990667849283087&hl=en&as_sdt=0,10
19
2,020
Novelty Search in Representational Space for Sample Efficient Exploration
32
neurips
2
2
2023-06-16 15:10:45.008000
https://github.com/taodav/nsrs
11
Novelty search in representational space for sample efficient exploration
https://scholar.google.com/scholar?cluster=15188964487009178721&hl=en&as_sdt=0,31
2
2,020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
25
neurips
0
0
2023-06-16 15:10:45.202000
https://github.com/ShufanWangBGM/OAfMSSRwMLA
1
Online algorithms for multi-shop ski rental with machine learned advice
https://scholar.google.com/scholar?cluster=16607821741984068758&hl=en&as_sdt=0,11
1
2,020
Learning Invariants through Soft Unification
7
neurips
1
0
2023-06-16 15:10:45.395000
https://github.com/nuric/softuni
4
Learning invariants through soft unification
https://scholar.google.com/scholar?cluster=3931986727564031878&hl=en&as_sdt=0,5
1
2,020
Variational Bayesian Monte Carlo with Noisy Likelihoods
26
neurips
2
0
2023-06-16 15:10:45.588000
https://github.com/lacerbi/infbench
3
Variational bayesian monte carlo with noisy likelihoods
https://scholar.google.com/scholar?cluster=10498124267733273591&hl=en&as_sdt=0,5
5
2,020
Adversarial Distributional Training for Robust Deep Learning
79
neurips
8
1
2023-06-16 15:10:45.781000
https://github.com/dongyp13/Adversarial-Distributional-Training
58
Adversarial distributional training for robust deep learning
https://scholar.google.com/scholar?cluster=4714059054130702686&hl=en&as_sdt=0,5
1
2,020
Greedy inference with structure-exploiting lazy maps
34
neurips
1
7
2023-06-16 15:10:45.973000
https://github.com/MichaelCBrennan/lazymaps
1
Greedy inference with structure-exploiting lazy maps
https://scholar.google.com/scholar?cluster=12098930486710559887&hl=en&as_sdt=0,10
2
2,020
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning
37
neurips
32
17
2023-06-16 15:10:46.166000
https://github.com/snuspl/nimble
239
Nimble: Lightweight and parallel gpu task scheduling for deep learning
https://scholar.google.com/scholar?cluster=7176715468062683010&hl=en&as_sdt=0,47
10
2,020
Finding the Homology of Decision Boundaries with Active Learning
13
neurips
0
0
2023-06-16 15:10:46.357000
https://github.com/wayne0908/Active-Learning-Homology
2
Finding the homology of decision boundaries with active learning
https://scholar.google.com/scholar?cluster=16953441847668604826&hl=en&as_sdt=0,41
2
2,020
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars
17
neurips
0
0
2023-06-16 15:10:46.550000
https://github.com/Zoesgithub/MNCE-RL
6
Reinforced molecular optimization with neighborhood-controlled grammars
https://scholar.google.com/scholar?cluster=5211013872342896595&hl=en&as_sdt=0,5
2
2,020
Certified Defense to Image Transformations via Randomized Smoothing
41
neurips
1
0
2023-06-16 15:10:46.742000
https://github.com/eth-sri/transformation-smoothing
3
Certified defense to image transformations via randomized smoothing
https://scholar.google.com/scholar?cluster=9373644649920608208&hl=en&as_sdt=0,5
8
2,020
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks
29
neurips
3
0
2023-06-16 15:10:46.934000
https://github.com/RobustGraph/RoboGraph
9
Certified robustness of graph convolution networks for graph classification under topological attacks
https://scholar.google.com/scholar?cluster=8395286682706237378&hl=en&as_sdt=0,5
3
2,020
Zero-Resource Knowledge-Grounded Dialogue Generation
44
neurips
9
6
2023-06-16 15:10:47.126000
https://github.com/nlpxucan/ZRKGC
36
Zero-resource knowledge-grounded dialogue generation
https://scholar.google.com/scholar?cluster=6981655446810272506&hl=en&as_sdt=0,39
4
2,020
Targeted Adversarial Perturbations for Monocular Depth Prediction
29
neurips
3
0
2023-06-16 15:10:47.319000
https://github.com/alexklwong/targeted-adversarial-perturbations-monocular-depth
12
Targeted adversarial perturbations for monocular depth prediction
https://scholar.google.com/scholar?cluster=16134290645127049160&hl=en&as_sdt=0,34
3
2,020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
6
neurips
1
0
2023-06-16 15:10:47.510000
https://github.com/boschresearch/Structured_DGP
3
Beyond the mean-field: Structured deep Gaussian processes improve the predictive uncertainties
https://scholar.google.com/scholar?cluster=8221968686369534160&hl=en&as_sdt=0,5
4
2,020
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals
16
neurips
3
0
2023-06-16 15:10:47.702000
https://github.com/henrycharlesworth/PlanGAN
17
Plangan: Model-based planning with sparse rewards and multiple goals
https://scholar.google.com/scholar?cluster=16931214957382065939&hl=en&as_sdt=0,33
1
2,020
Bad Global Minima Exist and SGD Can Reach Them
57
neurips
2
0
2023-06-16 15:10:47.894000
https://github.com/chao1224/BadGlobalMinima
9
Bad global minima exist and sgd can reach them
https://scholar.google.com/scholar?cluster=4377222193710581368&hl=en&as_sdt=0,33
1
2,020
A Closer Look at Accuracy vs. Robustness
196
neurips
14
0
2023-06-16 15:10:48.086000
https://github.com/yangarbiter/robust-local-lipschitz
82
A closer look at accuracy vs. robustness
https://scholar.google.com/scholar?cluster=13806860877256503450&hl=en&as_sdt=0,5
7
2,020
Spin-Weighted Spherical CNNs
46
neurips
1
0
2023-06-16 15:10:48.286000
https://github.com/daniilidis-group/swscnn
21
Spin-weighted spherical cnns
https://scholar.google.com/scholar?cluster=13743708889227032297&hl=en&as_sdt=0,11
8
2,020
Baxter Permutation Process
10
neurips
1
0
2023-06-16 15:10:48.485000
https://github.com/nttcslab/baxter-permutation-process
6
Baxter permutation process
https://scholar.google.com/scholar?cluster=290903901363151335&hl=en&as_sdt=0,5
5
2,020
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation
36
neurips
744
214
2023-06-16 15:10:48.681000
https://github.com/awslabs/autogluon
5,850
Fast, accurate, and simple models for tabular data via augmented distillation
https://scholar.google.com/scholar?cluster=15277756439655303211&hl=en&as_sdt=0,47
91
2,020
Approximate Cross-Validation for Structured Models
12
neurips
0
0
2023-06-16 15:10:48.876000
https://github.com/SoumyaTGhosh/structured-infinitesimal-jackknife
1
Approximate cross-validation for structured models
https://scholar.google.com/scholar?cluster=5677418794939060287&hl=en&as_sdt=0,5
5
2,020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
15
neurips
8
3
2023-06-16 15:10:49.069000
https://github.com/sajadn/Exemplar-VAE
65
Exemplar vae: Linking generative models, nearest neighbor retrieval, and data augmentation
https://scholar.google.com/scholar?cluster=1402621202580730115&hl=en&as_sdt=0,34
3
2,020
Debiased Contrastive Learning
340
neurips
33
3
2023-06-16 15:10:49.271000
https://github.com/chingyaoc/DCL
263
Debiased contrastive learning
https://scholar.google.com/scholar?cluster=9278834174999362411&hl=en&as_sdt=0,5
8
2,020
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree
45
neurips
6
3
2023-06-16 15:10:49.495000
https://github.com/kacperkan/ucsgnet
32
UCSG-NET-unsupervised discovering of constructive solid geometry tree
https://scholar.google.com/scholar?cluster=7447193649830937821&hl=en&as_sdt=0,11
1
2,020
COT-GAN: Generating Sequential Data via Causal Optimal Transport
59
neurips
10
3
2023-06-16 15:10:49.688000
https://github.com/tianlinxu312/cot-gan
28
Cot-gan: Generating sequential data via causal optimal transport
https://scholar.google.com/scholar?cluster=2786319985224529897&hl=en&as_sdt=0,5
0
2,020
Understanding spiking networks through convex optimization
13
neurips
7
0
2023-06-16 15:10:49.881000
https://github.com/machenslab/spikes
14
Understanding spiking networks through convex optimization
https://scholar.google.com/scholar?cluster=13728762608347936383&hl=en&as_sdt=0,5
1
2,020
Large-Scale Methods for Distributionally Robust Optimization
105
neurips
6
1
2023-06-16 15:10:50.074000
https://github.com/daniellevy/fast-dro
43
Large-scale methods for distributionally robust optimization
https://scholar.google.com/scholar?cluster=4841990441300957739&hl=en&as_sdt=0,18
4
2,020
Adversarial Example Games
41
neurips
6
1
2023-06-16 15:10:50.269000
https://github.com/joeybose/Adversarial-Example-Games
24
Adversarial example games
https://scholar.google.com/scholar?cluster=4037988847325628992&hl=en&as_sdt=0,5
4
2,020
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts
20
neurips
0
0
2023-06-16 15:10:50.478000
https://github.com/leoozy/JointRD_Neurips2020
1
Residual distillation: Towards portable deep neural networks without shortcuts
https://scholar.google.com/scholar?cluster=4325972833602775025&hl=en&as_sdt=0,5
1
2,020
Further Analysis of Outlier Detection with Deep Generative Models
31
neurips
2
0
2023-06-16 15:10:50.670000
https://github.com/thu-ml/ood-dgm
8
Further analysis of outlier detection with deep generative models
https://scholar.google.com/scholar?cluster=9058630234791749340&hl=en&as_sdt=0,5
8
2,020
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning
12
neurips
2
0
2023-06-16 15:10:50.862000
https://github.com/Mehooz/BIRD_code
12
Bridging imagination and reality for model-based deep reinforcement learning
https://scholar.google.com/scholar?cluster=1362648394458598270&hl=en&as_sdt=0,5
2
2,020
Adversarial Learning for Robust Deep Clustering
56
neurips
2
2
2023-06-16 15:10:51.054000
https://github.com/xdxuyang/ALRDC
13
Adversarial learning for robust deep clustering
https://scholar.google.com/scholar?cluster=10569924986373874642&hl=en&as_sdt=0,34
1
2,020
Learning Mutational Semantics
4
neurips
2
0
2023-06-16 15:10:51.247000
https://github.com/brianhie/mutational-semantics-neurips2020
8
Learning mutational semantics
https://scholar.google.com/scholar?cluster=4282139572655553972&hl=en&as_sdt=0,5
3
2,020
Learning to Learn Variational Semantic Memory
14
neurips
2
3
2023-06-16 15:10:51.439000
https://github.com/YDU-uva/VSM
5
Learning to learn variational semantic memory
https://scholar.google.com/scholar?cluster=6158298679245013068&hl=en&as_sdt=0,39
2
2,020
Finer Metagenomic Reconstruction via Biodiversity Optimization
0
neurips
0
0
2023-06-16 15:10:51.630000
https://github.com/dkoslicki/MinimizeBiologicalDiversity
0
Finer metagenomic reconstruction via biodiversity optimization
https://scholar.google.com/scholar?cluster=7553946638597085018&hl=en&as_sdt=0,44
2
2,020
Self-Paced Deep Reinforcement Learning
30
neurips
2
3
2023-06-16 15:10:51.822000
https://github.com/psclklnk/spdl
25
Self-paced deep reinforcement learning
https://scholar.google.com/scholar?cluster=12390741012444342538&hl=en&as_sdt=0,31
1
2,020
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
37
neurips
3
0
2023-06-16 15:10:52.014000
https://github.com/jayjaynandy/maximize-representation-gap
7
Towards maximizing the representation gap between in-domain & out-of-distribution examples
https://scholar.google.com/scholar?cluster=9854712856118279269&hl=en&as_sdt=0,44
2
2,020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks
140
neurips
13
5
2023-06-16 15:10:52.206000
https://github.com/mims-harvard/GNNGuard
49
Gnnguard: Defending graph neural networks against adversarial attacks
https://scholar.google.com/scholar?cluster=16210304984392782174&hl=en&as_sdt=0,5
5
2,020