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RLlib: Abstractions for Distributed Reinforcement Learning
642
icml
4,893
2,935
2023-06-17 02:59:36.226000
https://github.com/ray-project/ray
26,195
RLlib: Abstractions for distributed reinforcement learning
https://scholar.google.com/scholar?cluster=9535249560181579239&hl=en&as_sdt=0,11
450
2,018
On the Spectrum of Random Features Maps of High Dimensional Data
48
icml
5
0
2023-06-17 02:59:36.440000
https://github.com/Zhenyu-LIAO/RMT4RFM
7
On the spectrum of random features maps of high dimensional data
https://scholar.google.com/scholar?cluster=4838372697610829936&hl=en&as_sdt=0,44
1
2,018
Reviving and Improving Recurrent Back-Propagation
95
icml
4
2
2023-06-17 02:59:36.654000
https://github.com/lrjconan/RBP
36
Reviving and improving recurrent back-propagation
https://scholar.google.com/scholar?cluster=8778638717316926195&hl=en&as_sdt=0,5
3
2,018
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
79
icml
4
1
2023-06-17 02:59:36.869000
https://github.com/LiuHaiTao01/GRBCM
9
Generalized robust Bayesian committee machine for large-scale Gaussian process regression
https://scholar.google.com/scholar?cluster=8338496144713791124&hl=en&as_sdt=0,33
3
2,018
Delayed Impact of Fair Machine Learning
410
icml
8
1
2023-06-17 02:59:37.082000
https://github.com/lydiatliu/delayedimpact
12
Delayed impact of fair machine learning
https://scholar.google.com/scholar?cluster=5181623229195224544&hl=en&as_sdt=0,5
6
2,018
Open Category Detection with PAC Guarantees
81
icml
1
0
2023-06-17 02:59:37.295000
https://github.com/liusi2019/ocd
6
Open category detection with PAC guarantees
https://scholar.google.com/scholar?cluster=16442088261883676309&hl=en&as_sdt=0,3
1
2,018
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
101
icml
7
1
2023-06-17 02:59:37.510000
https://github.com/Alaya-in-Matrix/MACE
18
Batch Bayesian optimization via multi-objective acquisition ensemble for automated analog circuit design
https://scholar.google.com/scholar?cluster=18060661280078108001&hl=en&as_sdt=0,41
2
2,018
Celer: a Fast Solver for the Lasso with Dual Extrapolation
71
icml
29
23
2023-06-17 02:59:37.724000
https://github.com/mathurinm/celer
172
Celer: a fast solver for the lasso with dual extrapolation
https://scholar.google.com/scholar?cluster=5377261088300700033&hl=en&as_sdt=0,5
11
2,018
Dimensionality-Driven Learning with Noisy Labels
347
icml
13
7
2023-06-17 02:59:37.938000
https://github.com/xingjunm/dimensionality-driven-learning
54
Dimensionality-driven learning with noisy labels
https://scholar.google.com/scholar?cluster=13671594748199391279&hl=en&as_sdt=0,5
6
2,018
Orthogonal Machine Learning: Power and Limitations
32
icml
1
0
2023-06-17 02:59:38.152000
https://github.com/IliasZadik/double_orthogonal_ml
9
Orthogonal machine learning: Power and limitations
https://scholar.google.com/scholar?cluster=5809392484253895551&hl=en&as_sdt=0,14
3
2,018
Learning Adversarially Fair and Transferable Representations
552
icml
12
0
2023-06-17 02:59:38.366000
https://github.com/VectorInstitute/laftr
50
Learning adversarially fair and transferable representations
https://scholar.google.com/scholar?cluster=6932272369084023440&hl=en&as_sdt=0,47
6
2,018
Iterative Amortized Inference
139
icml
9
1
2023-06-17 02:59:38.579000
https://github.com/joelouismarino/iterative_inference
43
Iterative amortized inference
https://scholar.google.com/scholar?cluster=11655024897433506011&hl=en&as_sdt=0,43
3
2,018
Optimization, fast and slow: optimally switching between local and Bayesian optimization
33
icml
9
2
2023-06-17 02:59:38.792000
https://github.com/markm541374/gpbo
25
Optimization, fast and slow: optimally switching between local and Bayesian optimization
https://scholar.google.com/scholar?cluster=6241493477815440111&hl=en&as_sdt=0,5
2
2,018
Which Training Methods for GANs do actually Converge?
1,241
icml
115
12
2023-06-17 02:59:39.006000
https://github.com/LMescheder/GAN_stability
900
Which training methods for GANs do actually converge?
https://scholar.google.com/scholar?cluster=11334901664651510839&hl=en&as_sdt=0,5
22
2,018
prDeep: Robust Phase Retrieval with a Flexible Deep Network
151
icml
12
1
2023-06-17 02:59:39.219000
https://github.com/ricedsp/prDeep
37
prDeep: Robust phase retrieval with a flexible deep network
https://scholar.google.com/scholar?cluster=13840213498750434607&hl=en&as_sdt=0,44
3
2,018
One-Shot Segmentation in Clutter
39
icml
11
0
2023-06-17 02:59:39.433000
https://github.com/michaelisc/cluttered-omniglot
47
One-shot segmentation in clutter
https://scholar.google.com/scholar?cluster=14253967975584352267&hl=en&as_sdt=0,5
4
2,018
Differentiable plasticity: training plastic neural networks with backpropagation
151
icml
71
3
2023-06-17 02:59:39.646000
https://github.com/uber-common/differentiable-plasticity
389
Differentiable plasticity: training plastic neural networks with backpropagation
https://scholar.google.com/scholar?cluster=16849084099727983459&hl=en&as_sdt=0,5
27
2,018
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
21
icml
1
1
2023-06-17 02:59:39.860000
https://github.com/tomMoral/dicod
12
Dicod: Distributed convolutional coordinate descent for convolutional sparse coding
https://scholar.google.com/scholar?cluster=6841370809688839469&hl=en&as_sdt=0,25
3
2,018
Nearly Optimal Robust Subspace Tracking
30
icml
4
0
2023-06-17 02:59:40.073000
https://github.com/praneethmurthy/NORST
7
Nearly optimal robust subspace tracking
https://scholar.google.com/scholar?cluster=11197141106222317789&hl=en&as_sdt=0,14
3
2,018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
341
icml
221
29
2023-06-17 02:59:40.286000
https://github.com/facebookresearch/poincare-embeddings
1,592
Learning continuous hierarchies in the lorentz model of hyperbolic geometry
https://scholar.google.com/scholar?cluster=5235601311596588081&hl=en&as_sdt=0,10
52
2,018
SparseMAP: Differentiable Sparse Structured Inference
119
icml
9
3
2023-06-17 02:59:40.501000
https://github.com/vene/sparsemap
109
Sparsemap: Differentiable sparse structured inference
https://scholar.google.com/scholar?cluster=16676407380618945031&hl=en&as_sdt=0,24
9
2,018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
144
icml
0
0
2023-06-17 02:59:40.714000
https://github.com/weilinie/BackpropVis
5
A theoretical explanation for perplexing behaviors of backpropagation-based visualizations
https://scholar.google.com/scholar?cluster=7254168770426119962&hl=en&as_sdt=0,47
2
2,018
Self-Imitation Learning
274
icml
40
4
2023-06-17 02:59:40.928000
https://github.com/junhyukoh/self-imitation-learning
269
Self-imitation learning
https://scholar.google.com/scholar?cluster=6282132634766578030&hl=en&as_sdt=0,31
16
2,018
Learning Localized Spatio-Temporal Models From Streaming Data
1
icml
0
3
2023-06-17 02:59:41.142000
https://github.com/Muhammad-Osama/Localized-Spatio-temporal-Models
7
Learning localized spatio-temporal models from streaming data
https://scholar.google.com/scholar?cluster=6273621603567429406&hl=en&as_sdt=0,33
1
2,018
Efficient First-Order Algorithms for Adaptive Signal Denoising
5
icml
1
0
2023-06-17 02:59:41.355000
https://github.com/ostrodmit/AlgoRec
6
Efficient first-order algorithms for adaptive signal denoising
https://scholar.google.com/scholar?cluster=16164313069281185033&hl=en&as_sdt=0,10
3
2,018
Analyzing Uncertainty in Neural Machine Translation
748
icml
8
0
2023-06-17 02:59:41.569000
https://github.com/facebookresearch/analyzing-uncertainty-nmt
32
Analyzing uncertainty in neural machine translation
https://scholar.google.com/scholar?cluster=1522001537063991105&hl=en&as_sdt=0,5
56
2,018
Max-Mahalanobis Linear Discriminant Analysis Networks
46
icml
19
1
2023-06-17 02:59:41.783000
https://github.com/P2333/Max-Mahalanobis-Training
87
Max-mahalanobis linear discriminant analysis networks
https://scholar.google.com/scholar?cluster=1310490945606447616&hl=en&as_sdt=0,33
4
2,018
Stochastic Variance-Reduced Policy Gradient
145
icml
4
0
2023-06-17 02:59:41.997000
https://github.com/Dam930/rllab
3
Stochastic variance-reduced policy gradient
https://scholar.google.com/scholar?cluster=10229080169981298445&hl=en&as_sdt=0,38
3
2,018
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
56
icml
2
0
2023-06-17 02:59:42.211000
https://github.com/proppo/pipps_demo
0
PIPPS: Flexible model-based policy search robust to the curse of chaos
https://scholar.google.com/scholar?cluster=8640168252000745898&hl=en&as_sdt=0,5
2
2,018
Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
38
icml
2
0
2023-06-17 02:59:42.426000
https://github.com/jliang993/Local-VRSGD
2
Local convergence properties of SAGA/Prox-SVRG and acceleration
https://scholar.google.com/scholar?cluster=12517501002751750903&hl=en&as_sdt=0,33
3
2,018
Learning Dynamics of Linear Denoising Autoencoders
24
icml
3
1
2023-06-17 02:59:42.640000
https://github.com/arnupretorius/lindaedynamics_icml2018
12
Learning dynamics of linear denoising autoencoders
https://scholar.google.com/scholar?cluster=11573052296697932394&hl=en&as_sdt=0,6
3
2,018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
40
icml
8
1
2023-06-17 02:59:42.856000
https://github.com/sdai654416/Joint-GAN
19
Jointgan: Multi-domain joint distribution learning with generative adversarial nets
https://scholar.google.com/scholar?cluster=17442133177721066359&hl=en&as_sdt=0,25
1
2,018
Selecting Representative Examples for Program Synthesis
30
icml
3
1
2023-06-17 02:59:43.071000
https://github.com/evanthebouncy/icml2018_selecting_representative_examples
11
Selecting representative examples for program synthesis
https://scholar.google.com/scholar?cluster=18419281465561462811&hl=en&as_sdt=0,22
3
2,018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters
58
icml
1
0
2023-06-17 02:59:43.284000
https://github.com/xycheng/DCFNet
11
DCFNet: Deep neural network with decomposed convolutional filters
https://scholar.google.com/scholar?cluster=6785841352849465563&hl=en&as_sdt=0,5
2
2,018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
31
icml
0
0
2023-06-17 02:59:43.498000
https://github.com/rubai5/ESS_Game
7
Can deep reinforcement learning solve Erdos-Selfridge-Spencer games?
https://scholar.google.com/scholar?cluster=5045759722516886464&hl=en&as_sdt=0,5
1
2,018
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
46
icml
3
0
2023-06-17 02:59:43.713000
https://github.com/tijana-zrnic/SAFFRONcode
7
SAFFRON: an adaptive algorithm for online control of the false discovery rate
https://scholar.google.com/scholar?cluster=3162538214212248602&hl=en&as_sdt=0,5
0
2,018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
1,465
icml
360
54
2023-06-17 02:59:43.927000
https://github.com/oxwhirl/pymarl
1,474
Monotonic value function factorisation for deep multi-agent reinforcement learning
https://scholar.google.com/scholar?cluster=3975132673723125155&hl=en&as_sdt=0,33
32
2,018
Learning to Reweight Examples for Robust Deep Learning
1,199
icml
53
8
2023-06-17 02:59:44.141000
https://github.com/uber-research/learning-to-reweight-examples
266
Learning to reweight examples for robust deep learning
https://scholar.google.com/scholar?cluster=17871432661582272860&hl=en&as_sdt=0,5
11
2,018
Fast Information-theoretic Bayesian Optimisation
48
icml
2
0
2023-06-17 02:59:44.355000
https://github.com/rubinxin/FITBO
16
Fast information-theoretic Bayesian optimisation
https://scholar.google.com/scholar?cluster=12232335065092117172&hl=en&as_sdt=0,14
2
2,018
Probabilistic Boolean Tensor Decomposition
18
icml
5
0
2023-06-17 02:59:44.570000
https://github.com/TammoR/LogicalFactorisationMachines
20
Probabilistic boolean tensor decomposition
https://scholar.google.com/scholar?cluster=11732429422199282970&hl=en&as_sdt=0,5
3
2,018
Black-Box Variational Inference for Stochastic Differential Equations
62
icml
10
0
2023-06-17 02:59:44.787000
https://github.com/Tom-Ryder/VIforSDEs
41
Black-box variational inference for stochastic differential equations
https://scholar.google.com/scholar?cluster=771102464723698631&hl=en&as_sdt=0,33
6
2,018
Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
254
icml
3
0
2023-06-17 02:59:45.001000
https://github.com/ItaySafran/OneLayerGDconvergence
1
Spurious local minima are common in two-layer relu neural networks
https://scholar.google.com/scholar?cluster=2602196713819367782&hl=en&as_sdt=0,18
0
2,018
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
113
icml
6
0
2023-06-17 02:59:45.217000
https://github.com/amartya18x/tapas
16
TAPAS: Tricks to accelerate (encrypted) prediction as a service
https://scholar.google.com/scholar?cluster=13862835131458070168&hl=en&as_sdt=0,5
8
2,018
Learning with Abandonment
9
icml
0
0
2023-06-17 02:59:45.432000
https://github.com/schmit/learning-abandonment
1
Learning with abandonment
https://scholar.google.com/scholar?cluster=5599696763306308098&hl=en&as_sdt=0,48
2
2,018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
24
icml
3
1
2023-06-17 02:59:45.647000
https://github.com/d909b/DSMT-Nets
10
Not to cry wolf: Distantly supervised multitask learning in critical care
https://scholar.google.com/scholar?cluster=13897538253893011334&hl=en&as_sdt=0,5
4
2,018
Overcoming Catastrophic Forgetting with Hard Attention to the Task
699
icml
49
1
2023-06-17 02:59:45.862000
https://github.com/joansj/hat
174
Overcoming catastrophic forgetting with hard attention to the task
https://scholar.google.com/scholar?cluster=11086231050694477723&hl=en&as_sdt=0,36
10
2,018
First Order Generative Adversarial Networks
6
icml
12
1
2023-06-17 02:59:46.076000
https://github.com/zalandoresearch/first_order_gan
35
First order generative adversarial networks
https://scholar.google.com/scholar?cluster=4229294235141796493&hl=en&as_sdt=0,5
7
2,018
Finding Influential Training Samples for Gradient Boosted Decision Trees
38
icml
18
0
2023-06-17 02:59:46.294000
https://github.com/bsharchilev/influence_boosting
63
Finding influential training samples for gradient boosted decision trees
https://scholar.google.com/scholar?cluster=16436473119957517587&hl=en&as_sdt=0,33
7
2,018
Solving Partial Assignment Problems using Random Clique Complexes
1
icml
3
0
2023-06-17 02:59:46.513000
https://github.com/charusharma1991/RandomCliqueComplexes_ICML2018
2
Solving partial assignment problems using random clique complexes
https://scholar.google.com/scholar?cluster=8378028426453482804&hl=en&as_sdt=0,36
2
2,018
A Spectral Approach to Gradient Estimation for Implicit Distributions
78
icml
9
2
2023-06-17 02:59:46.734000
https://github.com/thjashin/spectral-stein-grad
33
A spectral approach to gradient estimation for implicit distributions
https://scholar.google.com/scholar?cluster=34252178022681098&hl=en&as_sdt=0,9
4
2,018
Accelerating Natural Gradient with Higher-Order Invariance
13
icml
8
0
2023-06-17 02:59:46.955000
https://github.com/ermongroup/higher_order_invariance
30
Accelerating natural gradient with higher-order invariance
https://scholar.google.com/scholar?cluster=17686115985744822983&hl=en&as_sdt=0,33
6
2,018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
92
icml
21
3
2023-06-17 02:59:47.175000
https://github.com/sg-nm/Evolutionary-Autoencoders
67
Exploiting the potential of standard convolutional autoencoders for image restoration by evolutionary search
https://scholar.google.com/scholar?cluster=4118394325034454915&hl=en&as_sdt=0,41
3
2,018
Scalable approximate Bayesian inference for particle tracking data
12
icml
0
2
2023-06-17 02:59:47.390000
https://github.com/SunRuoxi/Single_Particle_Tracking
1
Scalable approximate Bayesian inference for particle tracking data
https://scholar.google.com/scholar?cluster=8017063234741228178&hl=en&as_sdt=0,8
3
2,018
Learning the Reward Function for a Misspecified Model
12
icml
1
0
2023-06-17 02:59:47.606000
https://github.com/etalvitie/hdaggermc
8
Learning the reward function for a misspecified model
https://scholar.google.com/scholar?cluster=16036091820545871049&hl=en&as_sdt=0,5
1
2,018
Chi-square Generative Adversarial Network
40
icml
0
3
2023-06-17 02:59:47.820000
https://github.com/chenyang-tao/chi2gan
6
Chi-square generative adversarial network
https://scholar.google.com/scholar?cluster=3560140041128352974&hl=en&as_sdt=0,14
4
2,018
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
47
icml
1
0
2023-06-17 02:59:48.036000
https://github.com/QCGroup/quad-lyap-first-order
5
Lyapunov functions for first-order methods: Tight automated convergence guarantees
https://scholar.google.com/scholar?cluster=1395570422835062279&hl=en&as_sdt=0,5
3
2,018
Adversarial Regression with Multiple Learners
33
icml
1
0
2023-06-17 02:59:48.259000
https://github.com/marsplus/Adversarial-Regression-with-Multiple-Learners
2
Adversarial regression with multiple learners
https://scholar.google.com/scholar?cluster=11851981725937878010&hl=en&as_sdt=0,33
2
2,018
StrassenNets: Deep Learning with a Multiplication Budget
30
icml
10
0
2023-06-17 02:59:48.473000
https://github.com/mitscha/strassennets
45
StrassenNets: Deep learning with a multiplication budget
https://scholar.google.com/scholar?cluster=9065345888211174353&hl=en&as_sdt=0,44
4
2,018
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
350
icml
85
6
2023-06-17 02:59:48.687000
https://github.com/Yunbo426/predrnn-pp
221
Predrnn++: Towards a resolution of the deep-in-time dilemma in spatiotemporal predictive learning
https://scholar.google.com/scholar?cluster=16975551372418150051&hl=en&as_sdt=0,5
10
2,018
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
145
icml
1
0
2023-06-17 02:59:48.902000
https://github.com/EricYizhenWang/robust_nn_icml
6
Analyzing the robustness of nearest neighbors to adversarial examples
https://scholar.google.com/scholar?cluster=15228068536645268692&hl=en&as_sdt=0,5
3
2,018
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
4
icml
0
1
2023-06-17 02:59:49.117000
https://github.com/QData/JEEK
1
A fast and scalable joint estimator for integrating additional knowledge in learning multiple related sparse Gaussian graphical models
https://scholar.google.com/scholar?cluster=12183443188962650844&hl=en&as_sdt=0,6
4
2,018
Adversarial Distillation of Bayesian Neural Network Posteriors
59
icml
2
1
2023-06-17 02:59:49.330000
https://github.com/wangkua1/apd_public
14
Adversarial distillation of bayesian neural network posteriors
https://scholar.google.com/scholar?cluster=8595967760145130464&hl=en&as_sdt=0,47
6
2,018
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
20
icml
2
1
2023-06-17 02:59:49.546000
https://github.com/wendazhou/alocv-package
6
Approximate leave-one-out for fast parameter tuning in high dimensions
https://scholar.google.com/scholar?cluster=7517160253492394187&hl=en&as_sdt=0,7
4
2,018
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
179
icml
19
0
2023-06-17 02:59:49.797000
https://github.com/tech-srl/lstar_extraction
63
Extracting automata from recurrent neural networks using queries and counterexamples
https://scholar.google.com/scholar?cluster=3812692831904479239&hl=en&as_sdt=0,31
7
2,018
Towards Fast Computation of Certified Robustness for ReLU Networks
641
icml
5
1
2023-06-17 02:59:50.011000
https://github.com/huanzhang12/CertifiedReLURobustness
29
Towards fast computation of certified robustness for relu networks
https://scholar.google.com/scholar?cluster=13154362274812885800&hl=en&as_sdt=0,39
5
2,018
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
1,370
icml
83
8
2023-06-17 02:59:50.226000
https://github.com/locuslab/convex_adversarial
357
Provable defenses against adversarial examples via the convex outer adversarial polytope
https://scholar.google.com/scholar?cluster=2593701021867797885&hl=en&as_sdt=0,47
16
2,018
SQL-Rank: A Listwise Approach to Collaborative Ranking
42
icml
8
0
2023-06-17 02:59:50.441000
https://github.com/wuliwei9278/SQL-Rank
16
Sql-rank: A listwise approach to collaborative ranking
https://scholar.google.com/scholar?cluster=3011153619955791541&hl=en&as_sdt=0,10
3
2,018
Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization
15
icml
0
1
2023-06-17 02:59:50.655000
https://github.com/hang-wu/VRCRM
2
Variance regularized counterfactual risk minimization via variational divergence minimization
https://scholar.google.com/scholar?cluster=16906275230514657049&hl=en&as_sdt=0,10
2
2,018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
122
icml
34
0
2023-06-17 02:59:50.870000
https://github.com/Sandbox3aster/Deep-K-Means
146
Deep k-means: Re-training and parameter sharing with harder cluster assignments for compressing deep convolutions
https://scholar.google.com/scholar?cluster=5421215697510972919&hl=en&as_sdt=0,44
13
2,018
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
293
icml
8
0
2023-06-17 02:59:51.084000
https://github.com/brain-research/mean-field-cnns
35
Dynamical isometry and a mean field theory of cnns: How to train 10,000-layer vanilla convolutional neural networks
https://scholar.google.com/scholar?cluster=4327553153293253435&hl=en&as_sdt=0,47
7
2,018
Learning Semantic Representations for Unsupervised Domain Adaptation
455
icml
38
3
2023-06-17 02:59:51.299000
https://github.com/Mid-Push/Moving-Semantic-Transfer-Network
105
Learning semantic representations for unsupervised domain adaptation
https://scholar.google.com/scholar?cluster=3795243851386744123&hl=en&as_sdt=0,47
5
2,018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
362
icml
11
1
2023-06-17 02:59:51.513000
https://github.com/UCLA-StarAI/Semantic-Loss
52
A semantic loss function for deep learning with symbolic knowledge
https://scholar.google.com/scholar?cluster=2687938736648965063&hl=en&as_sdt=0,44
11
2,018
Mean Field Multi-Agent Reinforcement Learning
564
icml
92
20
2023-06-17 02:59:51.727000
https://github.com/mlii/mfrl
323
Mean field multi-agent reinforcement learning
https://scholar.google.com/scholar?cluster=18365585657208114611&hl=en&as_sdt=0,23
10
2,018
Yes, but Did It Work?: Evaluating Variational Inference
138
icml
2
1
2023-06-17 02:59:51.941000
https://github.com/yao-yl/Evaluating-Variational-Inference
12
Yes, but did it work?: Evaluating variational inference
https://scholar.google.com/scholar?cluster=16612262779014542273&hl=en&as_sdt=0,31
3
2,018
Semi-Implicit Variational Inference
122
icml
13
1
2023-06-17 02:59:52.156000
https://github.com/mingzhang-yin/SIVI
49
Semi-implicit variational inference
https://scholar.google.com/scholar?cluster=952314383686625023&hl=en&as_sdt=0,5
5
2,018
GAIN: Missing Data Imputation using Generative Adversarial Nets
784
icml
141
0
2023-06-17 02:59:52.371000
https://github.com/jsyoon0823/GAIN
307
Gain: Missing data imputation using generative adversarial nets
https://scholar.google.com/scholar?cluster=6024113526841994005&hl=en&as_sdt=0,6
11
2,018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
753
icml
109
6
2023-06-17 02:59:52.586000
https://github.com/snap-stanford/GraphRNN
387
Graphrnn: Generating realistic graphs with deep auto-regressive models
https://scholar.google.com/scholar?cluster=18334516615969196433&hl=en&as_sdt=0,5
60
2,018
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
106
icml
3
1
2023-06-17 02:59:52.801000
https://github.com/zhangjiong724/spectral-RNN
12
Stabilizing gradients for deep neural networks via efficient svd parameterization
https://scholar.google.com/scholar?cluster=10623363336533108811&hl=en&as_sdt=0,9
2
2,018
Learning Long Term Dependencies via Fourier Recurrent Units
31
icml
8
0
2023-06-17 02:59:53.014000
https://github.com/limbo018/FRU
36
Learning long term dependencies via fourier recurrent units
https://scholar.google.com/scholar?cluster=16150244378271641439&hl=en&as_sdt=0,5
7
2,018
Inter and Intra Topic Structure Learning with Word Embeddings
16
icml
3
4
2023-06-17 02:59:53.228000
https://github.com/ethanhezhao/WEDTM
6
Inter and intra topic structure learning with word embeddings
https://scholar.google.com/scholar?cluster=11048244315815532986&hl=en&as_sdt=0,5
4
2,018
Adversarially Regularized Autoencoders
291
icml
93
19
2023-06-17 02:59:53.442000
https://github.com/jakezhaojb/ARAE
400
Adversarially regularized autoencoders
https://scholar.google.com/scholar?cluster=5024716526871945774&hl=en&as_sdt=0,11
20
2,018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
97
icml
16
0
2023-06-17 03:09:58.308000
https://github.com/axelabels/DynMORL
64
Dynamic weights in multi-objective deep reinforcement learning
https://scholar.google.com/scholar?cluster=12040121315464946458&hl=en&as_sdt=0,39
2
2,019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
600
icml
34
4
2023-06-17 03:09:58.523000
https://github.com/samihaija/mixhop
113
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
https://scholar.google.com/scholar?cluster=8927230189965016671&hl=en&as_sdt=0,5
7
2,019
Understanding the Impact of Entropy on Policy Optimization
182
icml
14
4
2023-06-17 03:09:58.738000
https://github.com/zafarali/emdp
47
Understanding the impact of entropy on policy optimization
https://scholar.google.com/scholar?cluster=8905478721868235472&hl=en&as_sdt=0,36
5
2,019
Fairwashing: the risk of rationalization
118
icml
2
1
2023-06-17 03:09:58.954000
https://github.com/aivodji/LaundryML
15
Fairwashing: the risk of rationalization
https://scholar.google.com/scholar?cluster=2523692918696533409&hl=en&as_sdt=0,23
2
2,019
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
74
icml
12
2
2023-06-17 03:09:59.200000
https://github.com/shirakawas/ASNG-NAS
86
Adaptive stochastic natural gradient method for one-shot neural architecture search
https://scholar.google.com/scholar?cluster=8278729461791344602&hl=en&as_sdt=0,44
12
2,019
Graph Element Networks: adaptive, structured computation and memory
73
icml
18
0
2023-06-17 03:09:59.417000
https://github.com/FerranAlet/graph_element_networks
54
Graph element networks: adaptive, structured computation and memory
https://scholar.google.com/scholar?cluster=15635052566391015915&hl=en&as_sdt=0,47
4
2,019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation
43
icml
5
1
2023-06-17 03:09:59.631000
https://github.com/a5a/asynchronous-BO
9
Asynchronous batch Bayesian optimisation with improved local penalisation
https://scholar.google.com/scholar?cluster=17891210137592442168&hl=en&as_sdt=0,11
2
2,019
Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data
9
icml
6
0
2023-06-17 03:09:59.848000
https://github.com/sergulaydore/Feature-Grouping-Regularizer
20
Feature grouping as a stochastic regularizer for high-dimensional structured data
https://scholar.google.com/scholar?cluster=11613171711375782355&hl=en&as_sdt=0,47
3
2,019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
11
icml
0
0
2023-06-17 03:10:00.065000
https://github.com/OxCSML-BayesNP/doublepowerlaw
0
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior
https://scholar.google.com/scholar?cluster=7805425707346893329&hl=en&as_sdt=0,5
4
2,019
Scalable Fair Clustering
174
icml
6
0
2023-06-17 03:10:00.279000
https://github.com/talwagner/fair_clustering
16
Scalable fair clustering
https://scholar.google.com/scholar?cluster=16665021693225941817&hl=en&as_sdt=0,14
2
2,019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
18
icml
4
1
2023-06-17 03:10:00.494000
https://github.com/yogeshbalaji/EntropicGANs_meet_VAEs
8
Entropic gans meet vaes: A statistical approach to compute sample likelihoods in gans
https://scholar.google.com/scholar?cluster=4502964466526434508&hl=en&as_sdt=0,10
2
2,019
Provable Guarantees for Gradient-Based Meta-Learning
136
icml
2
0
2023-06-17 03:10:00.712000
https://github.com/mkhodak/FMRL
3
Provable guarantees for gradient-based meta-learning
https://scholar.google.com/scholar?cluster=18333296959440727243&hl=en&as_sdt=0,33
3
2,019
Learning to Route in Similarity Graphs
23
icml
15
3
2023-06-17 03:10:00.937000
https://github.com/dbaranchuk/learning-to-route
50
Learning to route in similarity graphs
https://scholar.google.com/scholar?cluster=381431972230740194&hl=en&as_sdt=0,14
10
2,019
Noise2Self: Blind Denoising by Self-Supervision
439
icml
67
5
2023-06-17 03:10:01.181000
https://github.com/czbiohub/noise2self
292
Noise2self: Blind denoising by self-supervision
https://scholar.google.com/scholar?cluster=16484478987296907806&hl=en&as_sdt=0,43
16
2,019
Efficient optimization of loops and limits with randomized telescoping sums
22
icml
4
1
2023-06-17 03:10:01.396000
https://github.com/PrincetonLIPS/randomized_telescopes
27
Efficient optimization of loops and limits with randomized telescoping sums
https://scholar.google.com/scholar?cluster=3412668840791342029&hl=en&as_sdt=0,33
5
2,019
Greedy Layerwise Learning Can Scale To ImageNet
136
icml
11
0
2023-06-17 03:10:01.612000
https://github.com/eugenium/layerCNN
17
Greedy layerwise learning can scale to imagenet
https://scholar.google.com/scholar?cluster=17442726017389288785&hl=en&as_sdt=0,5
4
2,019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
21
icml
1
0
2023-06-17 03:10:01.826000
https://github.com/marcelomatheusgauy/optimal_kronecker_approximation
5
Optimal kronecker-sum approximation of real time recurrent learning
https://scholar.google.com/scholar?cluster=6902147836625554260&hl=en&as_sdt=0,50
3
2,019
Analyzing Federated Learning through an Adversarial Lens
750
icml
34
4
2023-06-17 03:10:02.041000
https://github.com/inspire-group/ModelPoisoning
133
Analyzing federated learning through an adversarial lens
https://scholar.google.com/scholar?cluster=16839948122426603319&hl=en&as_sdt=0,5
6
2,019
A Kernel Perspective for Regularizing Deep Neural Networks
67
icml
6
0
2023-06-17 03:10:02.256000
https://github.com/albietz/kernel_reg
22
A kernel perspective for regularizing deep neural networks
https://scholar.google.com/scholar?cluster=17149885341490741277&hl=en&as_sdt=0,5
3
2,019