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deepkyu
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github-as-altmetric

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Proximal Backpropagation
139
iclr
6
0
2023-06-18 08:50:58.437000
https://github.com/tfrerix/proxprop
41
Proximal backpropagation
https://scholar.google.com/scholar?cluster=13919472914722495778&hl=en&as_sdt=0,3
15
2,018
The Implicit Bias of Gradient Descent on Separable Data
739
iclr
1
0
2023-06-18 08:50:58.638000
https://github.com/paper-submissions/MaxMargin
3
The implicit bias of gradient descent on separable data
https://scholar.google.com/scholar?cluster=8363232294125339657&hl=en&as_sdt=0,5
2
2,018
Regularizing and Optimizing LSTM Language Models
1,144
iclr
502
63
2023-06-18 08:50:58.839000
https://github.com/salesforce/awd-lstm-lm
1,912
Regularizing and optimizing LSTM language models
https://scholar.google.com/scholar?cluster=10613038919449342432&hl=en&as_sdt=0,39
70
2,018
Word translation without parallel data
1,567
iclr
544
79
2023-06-18 08:50:59.040000
https://github.com/facebookresearch/MUSE
3,099
Word translation without parallel data
https://scholar.google.com/scholar?cluster=10646845124593498896&hl=en&as_sdt=0,5
99
2,018
Natural Language Inference over Interaction Space
291
iclr
58
11
2023-06-18 08:50:59.241000
https://github.com/YichenGong/Densely-Interactive-Inference-Network
243
Natural language inference over interaction space
https://scholar.google.com/scholar?cluster=3763530184208671433&hl=en&as_sdt=0,5
8
2,018
Multi-Task Learning for Document Ranking and Query Suggestion
57
iclr
31
0
2023-06-18 08:50:59.442000
https://github.com/wasiahmad/mnsrf_ranking_suggestion
110
Multi-task learning for document ranking and query suggestion
https://scholar.google.com/scholar?cluster=14352356705152132006&hl=en&as_sdt=0,3
9
2,018
Cascade Adversarial Machine Learning Regularized with a Unified Embedding
107
iclr
3
1
2023-06-18 08:50:59.644000
https://github.com/taesikna/cascade_adv_training
5
Cascade adversarial machine learning regularized with a unified embedding
https://scholar.google.com/scholar?cluster=11749941240097246023&hl=en&as_sdt=0,33
2
2,018
Mitigating Adversarial Effects Through Randomization
948
iclr
19
5
2023-06-18 08:50:59.845000
https://github.com/cihangxie/NIPS2017_adv_challenge_defense
109
Mitigating adversarial effects through randomization
https://scholar.google.com/scholar?cluster=1119418123159333221&hl=en&as_sdt=0,5
6
2,018
Decision Boundary Analysis of Adversarial Examples
126
iclr
6
1
2023-06-18 08:51:00.046000
https://github.com/sunblaze-ucb/decision-boundaries
24
Decision boundary analysis of adversarial examples
https://scholar.google.com/scholar?cluster=14822232947259136601&hl=en&as_sdt=0,47
10
2,018
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
198
iclr
23
5
2023-06-18 08:51:00.248000
https://github.com/mkocaoglu/CausalGAN
122
Causalgan: Learning causal implicit generative models with adversarial training
https://scholar.google.com/scholar?cluster=16773515662718074217&hl=en&as_sdt=0,25
9
2,018
Activation Maximization Generative Adversarial Nets
96
iclr
1
1
2023-06-18 08:51:00.448000
https://github.com/ZhimingZhou/AM-GAN
15
Activation maximization generative adversarial nets
https://scholar.google.com/scholar?cluster=5158804099762139876&hl=en&as_sdt=0,15
2
2,018
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
78
iclr
13
0
2023-06-18 08:51:00.650000
https://github.com/bioinf-jku/coulomb_gan
62
Coulomb gans: Provably optimal nash equilibria via potential fields
https://scholar.google.com/scholar?cluster=14788505867309328713&hl=en&as_sdt=0,24
12
2,018
Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
260
iclr
15
4
2023-06-18 08:51:00.850000
https://github.com/biuyq/CT-GAN
47
Improving the improved training of wasserstein gans: A consistency term and its dual effect
https://scholar.google.com/scholar?cluster=3155067773578991569&hl=en&as_sdt=0,5
3
2,018
FusionNet: Fusing via Fully-aware Attention with Application to Machine Comprehension
196
iclr
39
5
2023-06-18 08:51:01.051000
https://github.com/momohuang/FusionNet-NLI
134
Fusionnet: Fusing via fully-aware attention with application to machine comprehension
https://scholar.google.com/scholar?cluster=17073455781225282077&hl=en&as_sdt=0,5
10
2,018
Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
453
iclr
83
8
2023-06-18 08:51:01.252000
https://github.com/shehzaadzd/MINERVA
287
Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning
https://scholar.google.com/scholar?cluster=4820794446342808007&hl=en&as_sdt=0,5
11
2,018
Compositional Attention Networks for Machine Reasoning
510
iclr
124
15
2023-06-18 08:51:01.454000
https://github.com/stanfordnlp/mac-network
483
Compositional attention networks for machine reasoning
https://scholar.google.com/scholar?cluster=6263143180991689473&hl=en&as_sdt=0,47
32
2,018
Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs
36
iclr
8
2
2023-06-18 08:51:01.655000
https://github.com/ForoughA/neuralMath
31
Combining symbolic expressions and black-box function evaluations in neural programs
https://scholar.google.com/scholar?cluster=12704807079952611027&hl=en&as_sdt=0,5
4
2,018
Active Learning for Convolutional Neural Networks: A Core-Set Approach
1,218
iclr
43
0
2023-06-18 08:51:01.857000
https://github.com/ozansener/active_learning_coreset
218
Active learning for convolutional neural networks: A core-set approach
https://scholar.google.com/scholar?cluster=11951024346317000591&hl=en&as_sdt=0,5
4
2,018
Loss-aware Weight Quantization of Deep Networks
135
iclr
6
0
2023-06-18 08:51:02.060000
https://github.com/houlu369/Loss-aware-weight-quantization
24
Loss-aware weight quantization of deep networks
https://scholar.google.com/scholar?cluster=17603219917891692242&hl=en&as_sdt=0,3
3
2,018
SpectralNet: Spectral Clustering using Deep Neural Networks
269
iclr
104
15
2023-06-18 08:51:02.261000
https://github.com/kstant0725/SpectralNet
299
Spectralnet: Spectral clustering using deep neural networks
https://scholar.google.com/scholar?cluster=4554119900285680620&hl=en&as_sdt=0,5
13
2,018
Not-So-Random Features
22
iclr
0
1
2023-06-18 08:51:02.462000
https://github.com/yz-ignescent/Not-So-Random-Features
3
Not-so-random features
https://scholar.google.com/scholar?cluster=16622124799980351573&hl=en&as_sdt=0,5
1
2,018
Generating Natural Adversarial Examples
560
iclr
43
3
2023-06-18 08:51:02.664000
https://github.com/zhengliz/natural-adversary
138
Generating natural adversarial examples
https://scholar.google.com/scholar?cluster=6487263081764376046&hl=en&as_sdt=0,15
5
2,018
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
265
iclr
29
3
2023-06-18 08:51:02.865000
https://github.com/duvenaud/relax
156
Backpropagation through the void: Optimizing control variates for black-box gradient estimation
https://scholar.google.com/scholar?cluster=14404204871710653077&hl=en&as_sdt=0,3
21
2,018
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference
47
iclr
8
0
2023-06-18 08:51:03.066000
https://github.com/Microsoft/jackknife-variational-inference
21
Debiasing evidence approximations: On importance-weighted autoencoders and jackknife variational inference
https://scholar.google.com/scholar?cluster=9069832931054868249&hl=en&as_sdt=0,5
5
2,018
Learning a Generative Model for Validity in Complex Discrete Structures
21
iclr
1
2
2023-06-18 08:51:03.267000
https://github.com/DavidJanz/molecule_grammar_rnn
2
Learning a generative model for validity in complex discrete structures
https://scholar.google.com/scholar?cluster=5246820158519363051&hl=en&as_sdt=0,33
2
2,018
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
111
iclr
7
1
2023-06-18 08:51:03.469000
https://github.com/renmengye/meta-optim-public
37
Understanding short-horizon bias in stochastic meta-optimization
https://scholar.google.com/scholar?cluster=10519066902248713180&hl=en&as_sdt=0,5
3
2,018
Self-ensembling for visual domain adaptation
492
iclr
36
6
2023-06-18 08:51:03.670000
https://github.com/Britefury/self-ensemble-visual-domain-adapt
187
Self-ensembling for visual domain adaptation
https://scholar.google.com/scholar?cluster=9203351470159334271&hl=en&as_sdt=0,1
5
2,018
Gradient Estimators for Implicit Models
85
iclr
4
0
2023-06-18 08:51:03.872000
https://github.com/YingzhenLi/SteinGrad
19
Gradient estimators for implicit models
https://scholar.google.com/scholar?cluster=29993418784277680&hl=en&as_sdt=0,5
2
2,018
An image representation based convolutional network for DNA classification
30
iclr
7
5
2023-06-18 08:51:04.073000
https://github.com/Bojian/Hilbert-CNN
21
An image representation based convolutional network for DNA classification
https://scholar.google.com/scholar?cluster=4721638019752473074&hl=en&as_sdt=0,5
0
2,018
SMASH: One-Shot Model Architecture Search through HyperNetworks
697
iclr
59
4
2023-06-18 08:51:04.275000
https://github.com/ajbrock/SMASH
481
Smash: one-shot model architecture search through hypernetworks
https://scholar.google.com/scholar?cluster=10456857144668119976&hl=en&as_sdt=0,5
20
2,018
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
223
iclr
8
0
2023-06-18 08:51:04.477000
https://github.com/manuelmolano/Spike-GAN
20
Synthesizing realistic neural population activity patterns using generative adversarial networks
https://scholar.google.com/scholar?cluster=3292717005509087968&hl=en&as_sdt=0,3
2
2,018
PixelNN: Example-based Image Synthesis
109
iclr
0
0
2023-06-18 08:51:04.680000
https://github.com/aayushbansal/PixelNN-Code
3
Pixelnn: Example-based image synthesis
https://scholar.google.com/scholar?cluster=16832087782645647806&hl=en&as_sdt=0,5
2
2,018
Non-Autoregressive Neural Machine Translation
640
iclr
49
3
2023-06-18 08:51:04.881000
https://github.com/salesforce/nonauto-nmt
263
Non-autoregressive neural machine translation
https://scholar.google.com/scholar?cluster=3482831974828539059&hl=en&as_sdt=0,5
18
2,018
mixup: Beyond Empirical Risk Minimization
6,796
iclr
217
15
2023-06-18 08:51:05.082000
https://github.com/facebookresearch/mixup-cifar10
1,077
mixup: Beyond empirical risk minimization
https://scholar.google.com/scholar?cluster=12669856454801555406&hl=en&as_sdt=0,31
22
2,018
TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
19
iclr
6
0
2023-06-18 08:51:05.283000
https://github.com/lmb-freiburg/td-or-not-td
12
TD or not TD: Analyzing the role of temporal differencing in deep reinforcement learning
https://scholar.google.com/scholar?cluster=17309732018163861252&hl=en&as_sdt=0,33
12
2,018
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
56
iclr
2
0
2023-06-18 08:51:05.485000
https://github.com/borgr/DORA
6
Dora the explorer: Directed outreaching reinforcement action-selection
https://scholar.google.com/scholar?cluster=10658112327839471119&hl=en&as_sdt=0,5
4
2,018
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
130
iclr
17
2
2023-06-18 08:51:05.687000
https://github.com/oxwhirl/treeqn
86
Treeqn and atreec: Differentiable tree-structured models for deep reinforcement learning
https://scholar.google.com/scholar?cluster=10647768083329764430&hl=en&as_sdt=0,18
10
2,018
Residual Loss Prediction: Reinforcement Learning With No Incremental Feedback
5
iclr
2
0
2023-06-18 08:51:05.888000
https://github.com/hal3/reslope
4
Residual loss prediction: Reinforcement learning with no incremental feedback
https://scholar.google.com/scholar?cluster=11251280234880641754&hl=en&as_sdt=0,44
2
2,018
Guide Actor-Critic for Continuous Control
24
iclr
5
0
2023-06-18 08:51:06.089000
https://github.com/voot-t/guide-actor-critic
10
Guide actor-critic for continuous control
https://scholar.google.com/scholar?cluster=6316181617581438246&hl=en&as_sdt=0,47
1
2,018
Online Learning Rate Adaptation with Hypergradient Descent
202
iclr
17
7
2023-06-18 08:51:06.291000
https://github.com/gbaydin/hypergradient-descent
121
Online learning rate adaptation with hypergradient descent
https://scholar.google.com/scholar?cluster=2792585694661059835&hl=en&as_sdt=0,36
10
2,018
On the regularization of Wasserstein GANs
244
iclr
5
0
2023-06-18 08:51:06.492000
https://github.com/lukovnikov/improved_wgan_training
6
On the regularization of wasserstein gans
https://scholar.google.com/scholar?cluster=16449463251581049938&hl=en&as_sdt=0,5
2
2,018
Divide-and-Conquer Reinforcement Learning
111
iclr
12
1
2023-06-18 08:51:06.694000
https://github.com/dibyaghosh/dnc
56
Divide-and-conquer reinforcement learning
https://scholar.google.com/scholar?cluster=8527540948926777430&hl=en&as_sdt=0,51
4
2,018
A New Method of Region Embedding for Text Classification
58
iclr
13
0
2023-06-18 08:51:06.895000
https://github.com/text-representation/local-context-unit
56
A New Method of Region Embedding for Text Classification.
https://scholar.google.com/scholar?cluster=4730426859617818868&hl=en&as_sdt=0,3
7
2,018
Fix your classifier: the marginal value of training the last weight layer
90
iclr
7
1
2023-06-18 08:51:07.096000
https://github.com/eladhoffer/fix_your_classifier
34
Fix your classifier: the marginal value of training the last weight layer
https://scholar.google.com/scholar?cluster=10161515370917941482&hl=en&as_sdt=0,5
3
2,018
Temporally Efficient Deep Learning with Spikes
18
iclr
5
1
2023-06-18 08:51:07.297000
https://github.com/petered/pdnn
17
Temporally efficient deep learning with spikes
https://scholar.google.com/scholar?cluster=10962726962539033469&hl=en&as_sdt=0,32
4
2,018
Training GANs with Optimism
452
iclr
6
1
2023-06-18 08:51:07.498000
https://github.com/vsyrgkanis/optimistic_GAN_training
42
Training gans with optimism
https://scholar.google.com/scholar?cluster=721555332302459217&hl=en&as_sdt=0,14
5
2,018
Learning From Noisy Singly-labeled Data
151
iclr
5
3
2023-06-18 08:51:07.699000
https://github.com/khetan2/MBEM
20
Learning from noisy singly-labeled data
https://scholar.google.com/scholar?cluster=1761205373572122420&hl=en&as_sdt=0,33
4
2,018
Gaussian Process Behaviour in Wide Deep Neural Networks
365
iclr
10
1
2023-06-18 08:51:07.900000
https://github.com/widedeepnetworks/widedeepnetworks
47
Gaussian process behaviour in wide deep neural networks
https://scholar.google.com/scholar?cluster=14179398766282481068&hl=en&as_sdt=0,5
5
2,018
On the Information Bottleneck Theory of Deep Learning
469
iclr
44
0
2023-06-18 08:51:08.102000
https://github.com/artemyk/ibsgd
127
On the information bottleneck theory of deep learning
https://scholar.google.com/scholar?cluster=12271240925674881982&hl=en&as_sdt=0,22
9
2,018
Deterministic Variational Inference for Robust Bayesian Neural Networks
174
iclr
21
0
2023-06-18 08:57:43.942000
https://github.com/Microsoft/deterministic-variational-inference
94
Deterministic variational inference for robust bayesian neural networks
https://scholar.google.com/scholar?cluster=180186411545863756&hl=en&as_sdt=0,44
7
2,019
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
326
iclr
101
8
2023-06-18 08:57:44.143000
https://github.com/yikangshen/Ordered-Neurons
572
Ordered neurons: Integrating tree structures into recurrent neural networks
https://scholar.google.com/scholar?cluster=18012332994072296158&hl=en&as_sdt=0,3
15
2,019
Learning deep representations by mutual information estimation and maximization
2,178
iclr
103
18
2023-06-18 08:57:44.346000
https://github.com/rdevon/DIM
774
Learning deep representations by mutual information estimation and maximization
https://scholar.google.com/scholar?cluster=9102831258285751412&hl=en&as_sdt=0,36
21
2,019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
2,124
iclr
63
1
2023-06-18 08:57:44.546000
https://github.com/rgeirhos/Stylized-ImageNet
469
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
https://scholar.google.com/scholar?cluster=14190455085351957023&hl=en&as_sdt=0,5
13
2,019
Meta-Learning Update Rules for Unsupervised Representation Learning
104
iclr
46,278
1,207
2023-06-18 08:57:44.748000
https://github.com/tensorflow/models
75,928
Meta-learning update rules for unsupervised representation learning
https://scholar.google.com/scholar?cluster=5989711063339819997&hl=en&as_sdt=0,24
2,774
2,019
Transferring Knowledge across Learning Processes
58
iclr
60
6
2023-06-18 08:57:44.950000
https://github.com/amzn/xfer
250
Transferring knowledge across learning processes
https://scholar.google.com/scholar?cluster=12789436144351549005&hl=en&as_sdt=0,21
19
2,019
A Unified Theory of Early Visual Representations from Retina to Cortex through Anatomically Constrained Deep CNNs
75
iclr
13
0
2023-06-18 08:57:45.154000
https://github.com/ganguli-lab/RetinalResources
47
A unified theory of early visual representations from retina to cortex through anatomically constrained deep CNNs
https://scholar.google.com/scholar?cluster=2073469512347644047&hl=en&as_sdt=0,5
15
2,019
Pay Less Attention with Lightweight and Dynamic Convolutions
538
iclr
5,883
1,031
2023-06-18 08:57:45.356000
https://github.com/pytorch/fairseq
26,500
Pay less attention with lightweight and dynamic convolutions
https://scholar.google.com/scholar?cluster=3358231780148394025&hl=en&as_sdt=0,3
411
2,019
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
317
iclr
40
6
2023-06-18 08:57:45.558000
https://github.com/ftramer/slalom
147
Slalom: Fast, verifiable and private execution of neural networks in trusted hardware
https://scholar.google.com/scholar?cluster=7461531422951047390&hl=en&as_sdt=0,5
10
2,019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
577
iclr
91
7
2023-06-18 08:57:45.759000
https://github.com/vacancy/NSCL-PyTorch-Release
383
The neuro-symbolic concept learner: Interpreting scenes, words, and sentences from natural supervision
https://scholar.google.com/scholar?cluster=8837128214653317831&hl=en&as_sdt=0,18
20
2,019
How Powerful are Graph Neural Networks?
4,871
iclr
211
17
2023-06-18 08:57:45.959000
https://github.com/weihua916/powerful-gnns
1,038
How powerful are graph neural networks?
https://scholar.google.com/scholar?cluster=9955904491400591671&hl=en&as_sdt=0,5
25
2,019
Variance Networks: When Expectation Does Not Meet Your Expectations
26
iclr
3
1
2023-06-18 08:57:46.161000
https://github.com/da-molchanov/variance-networks
39
Variance networks: When expectation does not meet your expectations
https://scholar.google.com/scholar?cluster=3938870273847182783&hl=en&as_sdt=0,5
2
2,019
Explaining Image Classifiers by Counterfactual Generation
214
iclr
1
0
2023-06-18 08:57:46.361000
https://github.com/zzzace2000/FIDO-saliency
27
Explaining image classifiers by counterfactual generation
https://scholar.google.com/scholar?cluster=6313449476805696850&hl=en&as_sdt=0,33
4
2,019
Snip: single-Shot Network Pruning based on Connection sensitivity
792
iclr
18
1
2023-06-18 08:57:46.562000
https://github.com/namhoonlee/snip-public
97
Snip: Single-shot network pruning based on connection sensitivity
https://scholar.google.com/scholar?cluster=9820036975414969048&hl=en&as_sdt=0,11
8
2,019
Diagnosing and Enhancing VAE Models
328
iclr
33
11
2023-06-18 08:57:46.765000
https://github.com/daib13/TwoStageVAE
223
Diagnosing and enhancing VAE models
https://scholar.google.com/scholar?cluster=15377413262741867924&hl=en&as_sdt=0,47
13
2,019
Automatically Composing Representation Transformations as a Means for Generalization
76
iclr
5
1
2023-06-18 08:57:46.966000
https://github.com/mbchang/crl
22
Automatically composing representation transformations as a means for generalization
https://scholar.google.com/scholar?cluster=2301953604663446405&hl=en&as_sdt=0,44
6
2,019
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
534
iclr
33
2
2023-06-18 08:57:47.168000
https://github.com/mattriemer/mer
136
Learning to learn without forgetting by maximizing transfer and minimizing interference
https://scholar.google.com/scholar?cluster=1577299111936747730&hl=en&as_sdt=0,10
5
2,019
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
73
iclr
4
1
2023-06-18 08:57:47.368000
https://github.com/lunanbit/UUlearning
22
On the minimal supervision for training any binary classifier from only unlabeled data
https://scholar.google.com/scholar?cluster=12632779449090033610&hl=en&as_sdt=0,1
1
2,019
Neural Speed Reading with Structural-Jump-LSTM
30
iclr
5
0
2023-06-18 08:57:47.569000
https://github.com/Varyn/Neural-Speed-Reading-with-Structural-Jump-LSTM
25
Neural speed reading with structural-jump-lstm
https://scholar.google.com/scholar?cluster=10699754124824317847&hl=en&as_sdt=0,33
5
2,019
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
172
iclr
7
4
2023-06-18 08:57:47.771000
https://github.com/roosephu/slbo
53
Algorithmic framework for model-based deep reinforcement learning with theoretical guarantees
https://scholar.google.com/scholar?cluster=3175696566467828309&hl=en&as_sdt=0,43
6
2,019
Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
182
iclr
5
6
2023-06-18 08:57:47.972000
https://github.com/MadryLab/relu_stable
26
Training for faster adversarial robustness verification via inducing relu stability
https://scholar.google.com/scholar?cluster=11696009804149879522&hl=en&as_sdt=0,5
5
2,019
Unsupervised Adversarial Image Reconstruction
30
iclr
3
4
2023-06-18 08:57:48.173000
https://github.com/UNIR-Anonymous/UNIR
15
Unsupervised adversarial image reconstruction
https://scholar.google.com/scholar?cluster=552778780795437052&hl=en&as_sdt=0,39
0
2,019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
34
iclr
1
0
2023-06-18 08:57:48.375000
https://github.com/Newbeeer/Max-MIG
23
Max-mig: an information theoretic approach for joint learning from crowds
https://scholar.google.com/scholar?cluster=14993809510724823282&hl=en&as_sdt=0,5
3
2,019
Meta-Learning with Latent Embedding Optimization
1,251
iclr
57
1
2023-06-18 08:57:48.576000
https://github.com/deepmind/leo
292
Meta-learning with latent embedding optimization
https://scholar.google.com/scholar?cluster=11552536411545683614&hl=en&as_sdt=0,22
14
2,019
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
155
iclr
4
0
2023-06-18 08:57:48.779000
https://github.com/wendazhou/nnet-compression-generalization
25
Non-vacuous generalization bounds at the imagenet scale: a PAC-bayesian compression approach
https://scholar.google.com/scholar?cluster=12180551458196751211&hl=en&as_sdt=0,33
4
2,019
Learning to Represent Edits
98
iclr
10
0
2023-06-18 08:57:48.980000
https://github.com/Microsoft/msrc-dpu-learning-to-represent-edits
27
Learning to represent edits
https://scholar.google.com/scholar?cluster=15643648406405720624&hl=en&as_sdt=0,3
9
2,019
An Empirical Study of Example Forgetting during Deep Neural Network Learning
348
iclr
26
3
2023-06-18 08:57:49.182000
https://github.com/mtoneva/example_forgetting
151
An empirical study of example forgetting during deep neural network learning
https://scholar.google.com/scholar?cluster=14912040563601232331&hl=en&as_sdt=0,33
6
2,019
RNNs implicitly implement tensor-product representations
46
iclr
3
0
2023-06-18 08:57:49.384000
https://github.com/tommccoy1/tpdn
18
RNNs implicitly implement tensor product representations
https://scholar.google.com/scholar?cluster=8578120166770522666&hl=en&as_sdt=0,33
7
2,019
Dynamic Channel Pruning: Feature Boosting and Suppression
290
iclr
20
4
2023-06-18 08:57:49.585000
https://github.com/deep-fry/mayo
109
Dynamic channel pruning: Feature boosting and suppression
https://scholar.google.com/scholar?cluster=1895104173020407133&hl=en&as_sdt=0,50
11
2,019
Towards Metamerism via Foveated Style Transfer
33
iclr
0
0
2023-06-18 08:57:49.787000
https://github.com/ArturoDeza/NeuroFovea
18
Towards metamerism via foveated style transfer
https://scholar.google.com/scholar?cluster=17935865817929282522&hl=en&as_sdt=0,44
3
2,019
Generative Code Modeling with Graphs
154
iclr
37
4
2023-06-18 08:57:49.988000
https://github.com/Microsoft/graph-based-code-modelling
157
Generative code modeling with graphs
https://scholar.google.com/scholar?cluster=2376600485661149991&hl=en&as_sdt=0,34
13
2,019
CEM-RL: Combining evolutionary and gradient-based methods for policy search
130
iclr
17
1
2023-06-18 08:57:50.190000
https://github.com/apourchot/CEM-RL
88
CEM-RL: Combining evolutionary and gradient-based methods for policy search
https://scholar.google.com/scholar?cluster=11981496156929972562&hl=en&as_sdt=0,5
4
2,019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks
221
iclr
64
4
2023-06-18 08:57:50.393000
https://github.com/lrjconan/LanczosNetwork
307
Lanczosnet: Multi-scale deep graph convolutional networks
https://scholar.google.com/scholar?cluster=4668385491596284189&hl=en&as_sdt=0,5
8
2,019
No Training Required: Exploring Random Encoders for Sentence Classification
111
iclr
28
1
2023-06-18 08:57:50.594000
https://github.com/facebookresearch/randsent
183
No training required: Exploring random encoders for sentence classification
https://scholar.google.com/scholar?cluster=12787240152315433650&hl=en&as_sdt=0,5
12
2,019
Neural Graph Evolution: Towards Efficient Automatic Robot Design
46
iclr
12
5
2023-06-18 08:57:50.794000
https://github.com/WilsonWangTHU/neural_graph_evolution
43
Neural graph evolution: Towards efficient automatic robot design
https://scholar.google.com/scholar?cluster=2252025967426248193&hl=en&as_sdt=0,5
2
2,019
Function Space Particle Optimization for Bayesian Neural Networks
52
iclr
7
2
2023-06-18 08:57:50.995000
https://github.com/thu-ml/fpovi
16
Function space particle optimization for bayesian neural networks
https://scholar.google.com/scholar?cluster=3265058804151062573&hl=en&as_sdt=0,3
8
2,019
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
160
iclr
7
1
2023-06-18 08:57:51.196000
https://github.com/KaidiXu/StrAttack
30
Structured adversarial attack: Towards general implementation and better interpretability
https://scholar.google.com/scholar?cluster=2416957312060244972&hl=en&as_sdt=0,5
4
2,019
Spherical CNNs on Unstructured Grids
154
iclr
24
6
2023-06-18 08:57:51.398000
https://github.com/maxjiang93/ugscnn
157
Spherical CNNs on unstructured grids
https://scholar.google.com/scholar?cluster=8988090417232263617&hl=en&as_sdt=0,5
15
2,019
Selfless Sequential Learning
109
iclr
5
0
2023-06-18 08:57:51.600000
https://github.com/rahafaljundi/Selfless-Sequential-Learning
23
Selfless sequential learning
https://scholar.google.com/scholar?cluster=11518728044683719539&hl=en&as_sdt=0,5
4
2,019
The Deep Weight Prior
37
iclr
8
0
2023-06-18 08:57:51.803000
https://github.com/bayesgroup/deep-weight-prior
44
The deep weight prior
https://scholar.google.com/scholar?cluster=15422497541572460475&hl=en&as_sdt=0,44
11
2,019
Adversarial Audio Synthesis
579
iclr
269
50
2023-06-18 08:57:52.008000
https://github.com/chrisdonahue/wavegan
1,225
Adversarial audio synthesis
https://scholar.google.com/scholar?cluster=5918610073287101746&hl=en&as_sdt=0,11
49
2,019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
80
iclr
13
0
2023-06-18 08:57:52.210000
https://github.com/cogentlabs/apl
46
Adaptive posterior learning: few-shot learning with a surprise-based memory module
https://scholar.google.com/scholar?cluster=3877086335539241291&hl=en&as_sdt=0,33
5
2,019
DHER: Hindsight Experience Replay for Dynamic Goals
72
iclr
6
0
2023-06-18 08:57:52.427000
https://github.com/mengf1/DHER
63
DHER: Hindsight experience replay for dynamic goals
https://scholar.google.com/scholar?cluster=810824099491823319&hl=en&as_sdt=0,5
4
2,019
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
115
iclr
58
19
2023-06-18 08:57:52.674000
https://github.com/momohuang/FlowQA
198
Flowqa: Grasping flow in history for conversational machine comprehension
https://scholar.google.com/scholar?cluster=13021094548556076955&hl=en&as_sdt=0,36
10
2,019
Learning to Design RNA
55
iclr
14
1
2023-06-18 08:57:52.889000
https://github.com/automl/learna
50
Learning to design RNA
https://scholar.google.com/scholar?cluster=17240520904353756155&hl=en&as_sdt=0,3
12
2,019
Robust Conditional Generative Adversarial Networks
128
iclr
2
1
2023-06-18 08:57:53.090000
https://github.com/grigorisg9gr/rocgan
15
Robust conditional generative adversarial networks
https://scholar.google.com/scholar?cluster=15862016331433813666&hl=en&as_sdt=0,3
3
2,019
Cost-Sensitive Robustness against Adversarial Examples
21
iclr
2
0
2023-06-18 08:57:53.290000
https://github.com/xiaozhanguva/Cost-Sensitive-Robustness
20
Cost-sensitive robustness against adversarial examples
https://scholar.google.com/scholar?cluster=16169861265468560490&hl=en&as_sdt=0,50
4
2,019
Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking
40
iclr
5
0
2023-06-18 08:57:53.491000
https://github.com/hyang1990/model_based_energy_constrained_compression
17
Energy-constrained compression for deep neural networks via weighted sparse projection and layer input masking
https://scholar.google.com/scholar?cluster=6237094978821638350&hl=en&as_sdt=0,37
3
2,019
Learning Procedural Abstractions and Evaluating Discrete Latent Temporal Structure
10
iclr
1
0
2023-06-18 08:57:53.691000
https://github.com/StanfordAI4HI/ICLR2019_evaluating_discrete_temporal_structure
3
Learning procedural abstractions and evaluating discrete latent temporal structure
https://scholar.google.com/scholar?cluster=11760620653931209024&hl=en&as_sdt=0,5
6
2,019
Adversarial Attacks on Graph Neural Networks via Meta Learning
81
iclr
25
0
2023-06-18 08:57:53.893000
https://github.com/danielzuegner/gnn-meta-attack
125
Adversarial attacks on graph neural networks via node injections: A hierarchical reinforcement learning approach
https://scholar.google.com/scholar?cluster=15469142668663053021&hl=en&as_sdt=0,5
5
2,019
Information-Directed Exploration for Deep Reinforcement Learning
72
iclr
23
0
2023-06-18 08:57:54.093000
https://github.com/nikonikolov/rltf
80
Information-directed exploration for deep reinforcement learning
https://scholar.google.com/scholar?cluster=12419979613667846761&hl=en&as_sdt=0,5
13
2,019