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Results
Found 4342 publication records. Showing 4342 according to the selection in the facets
| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Chunhui Zhang, Yijun Tian 0001, Mingxuan Ju, Zheyuan Liu 0010, Yanfang Ye 0001, Nitesh V. Chawla, Chuxu Zhang |
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization.  |
ICLR  |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhaoqing Wang, Ziyu Chen, Yaqian Li, Yandong Guo, Jun Yu 0002, Mingming Gong, Tongliang Liu |
Mosaic Representation Learning for Self-supervised Visual Pre-training. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang 0034, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia |
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Polina Kirichenko, Pavel Izmailov, Andrew Gordon Wilson |
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nadezhda Chirkova, Sergey Troshin |
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhenxing Mi, Dan Xu 0002 |
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer |
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan |
Agnostic Learning of General ReLU Activation Using Gradient Descent. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Steven D. Morad, Ryan Kortvelesy, Matteo Bettini, Stephan Liwicki, Amanda Prorok |
POPGym: Benchmarking Partially Observable Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Han Liu, Yizhou Tian, Chacha Chen, Shi Feng, Yuxin Chen 0001, Chenhao Tan |
Learning Human-Compatible Representations for Case-Based Decision Support. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Phillip Swazinna, Steffen Udluft, Thomas A. Runkler |
User-Interactive Offline Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang 0001 |
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zichen Jeff Cui, Yibin Wang 0008, Nur Muhammad (Mahi) Shafiullah, Lerrel Pinto |
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chao Chen 0016, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan |
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Divyansh Jhunjhunwala, Shiqiang Wang 0001, Gauri Joshi |
FedExP: Speeding Up Federated Averaging via Extrapolation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Nihal V. Nayak, Peilin Yu, Stephen H. Bach |
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yang Cai 0001, Weiqiang Zheng |
Accelerated Single-Call Methods for Constrained Min-Max Optimization. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shansan Gong, Mukai Li, Jiangtao Feng, Zhiyong Wu 0003, Lingpeng Kong |
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon |
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sumyeong Ahn, Jongwoo Ko, Se-Young Yun |
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Fan Bao, Min Zhao 0008, Zhongkai Hao, Peiyao Li, Chongxuan Li, Jun Zhu 0001 |
Equivariant Energy-Guided SDE for Inverse Molecular Design. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gregory Schwartzman |
Mini-batch k-means terminates within O(d/ϵ) iterations. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec |
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Manzil Zaheer, Ankit Singh Rawat, Seungyeon Kim, Chong You, Himanshu Jain, Andreas Veit, Rob Fergus, Sanjiv Kumar |
Teacher Guided Training: An Efficient Framework for Knowledge Transfer. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Myeongho Jeon, Hyoje Lee, Yedarm Seong, Myungjoo Kang |
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Runtian Zhai, Chen Dan 0001, J. Zico Kolter, Pradeep Kumar Ravikumar |
Understanding Why Generalized Reweighting Does Not Improve Over ERM. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Dian Wang 0001, Jung Yeon Park, Neel Sortur, Lawson L. S. Wong, Robin Walters 0001, Robert Platt 0001 |
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hyunseo Koh, Minhyuk Seo, Jihwan Bang, Hwanjun Song, Deokki Hong, Seulki Park, Jung-Woo Ha 0001, Jonghyun Choi |
Online Boundary-Free Continual Learning by Scheduled Data Prior. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Joshua Robinson, David Wingate |
Leveraging Large Language Models for Multiple Choice Question Answering. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Jim Boelrijk, Bernd Ensing, Patrick Forré |
Multi-objective optimization via equivariant deep hypervolume approximation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao 0006, Zhenguo Li, Ping Luo 0002 |
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yoonjeon Kim, Hyunsu Kim, Junho Kim, Yunjey Choi, Eunho Yang |
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shelly Sheynin, Oron Ashual, Adam Polyak, Uriel Singer, Oran Gafni, Eliya Nachmani, Yaniv Taigman |
kNN-Diffusion: Image Generation via Large-Scale Retrieval. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Tao Huang 0020, Yuan Zhang, Shan You, Fei Wang 0032, Chen Qian 0006, Jian Cao, Chang Xu 0002 |
Masked Distillation with Receptive Tokens. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matthew Ashman, Chao Ma 0019, Agrin Hilmkil, Joel Jennings, Cheng Zhang |
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Parth Sheth, Pengtao Xie |
Improving Differentiable Neural Architecture Search by Encouraging Transferability. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Kevin Muyuan Xia, Yushu Pan, Elias Bareinboim |
Neural Causal Models for Counterfactual Identification and Estimation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Shihao Zhang, Linlin Yang, Michael Bi Mi, Xiaoxu Zheng, Angela Yao |
Improving Deep Regression with Ordinal Entropy. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Gustav Bredell, Kyriakos Flouris, Krishna Chaitanya, Ertunc Erdil, Ender Konukoglu |
Explicitly Minimizing the Blur Error of Variational Autoencoders. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Sizhe Li, Zhiao Huang, Tao Chen 0046, Tao Du 0001, Hao Su 0001, Joshua B. Tenenbaum, Chuang Gan |
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten |
DINO as a von Mises-Fisher mixture model. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang |
Is Attention All That NeRF Needs? |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ian Gemp, Charlie Chen, Brian McWilliams |
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Chang Liu 0021, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan |
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Wei Jin 0009, Tong Zhao 0003, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah |
Empowering Graph Representation Learning with Test-Time Graph Transformation. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Yannick Hammerla, Michael M. Bronstein, Max Hansmire |
Graph Neural Networks for Link Prediction with Subgraph Sketching. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Eli Chien, Chao Pan 0003, Olgica Milenkovic |
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Toygun Basaklar, Suat Gumussoy, Ümit Y. Ogras |
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Zhijian Zhuo, Yifei Wang 0001, Jinwen Ma, Yisen Wang 0001 |
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Giung Nam, Sunguk Jang, Juho Lee 0001 |
Decoupled Training for Long-Tailed Classification With Stochastic Representations. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ce Liu, Suryansh Kumar 0001, Shuhang Gu, Radu Timofte, Luc Van Gool |
VA-DepthNet: A Variational Approach to Single Image Depth Prediction. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Adeel Pervez, Phillip Lippe, Efstratios Gavves |
Differentiable Mathematical Programming for Object-Centric Representation Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu 0003 |
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach |
Using Language to Extend to Unseen Domains. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Matteo Pagliardini, Martin Jaggi, François Fleuret, Sai Praneeth Karimireddy |
Agree to Disagree: Diversity through Disagreement for Better Transferability. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Peihao Wang, Shenghao Yang 0002, Yunyu Liu, Zhangyang Wang, Pan Li |
Equivariant Hypergraph Diffusion Neural Operators. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Yi-Lun Liao, Tess E. Smidt |
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li 0003, Yitao Liang, Song-Chun Zhu, Siyuan Huang 0001 |
SQA3D: Situated Question Answering in 3D Scenes. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ming Xu 0015, Sourav Garg, Michael Milford, Stephen Gould |
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Hanrong Ye, Dan Xu |
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Ido Galil, Mohammed Dabbah, Ran El-Yaniv |
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet. |
ICLR |
2023 |
DBLP BibTeX RDF |
|
| 1 | Youngjoong Kwon, Dahun Kim, Duygu Ceylan, Henry Fuchs |
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang |
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yoonho Lee 0001, Huaxiu Yao, Chelsea Finn |
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Han Guo, Philip Greengard, Hongyi Wang 0001, Andrew Gelman, Yoon Kim, Eric P. Xing |
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Cameron Diao, Ricky Loynd |
Relational Attention: Generalizing Transformers for Graph-Structured Tasks. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Aviral Kumar, Rishabh Agarwal, Xinyang Geng, George Tucker, Sergey Levine |
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Nate Gruver, Marc Anton Finzi, Micah Goldblum, Andrew Gordon Wilson |
The Lie Derivative for Measuring Learned Equivariance. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | |
The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023 |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Haoran Xu, Li Jiang 0008, Jianxiong Li, Zhuoran Yang, Zhaoran Wang 0001, Wai Kin Victor Chan, Xianyuan Zhan |
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen |
CodeT: Code Generation with Generated Tests. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Xuan Su, Jiaming Song, Chenlin Meng, Stefano Ermon |
Dual Diffusion Implicit Bridges for Image-to-Image Translation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Hongchang Zhang, Yixiu Mao, Boyuan Wang, Shuncheng He, Yi Xu, Xiangyang Ji |
In-sample Actor Critic for Offline Reinforcement Learning. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Nicolai Dorka, Tim Welschehold, Wolfram Burgard |
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Moritz Thürlemann, Sereina Riniker |
Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Albert Qiaochu Jiang, Sean Welleck, Jin Peng Zhou, Timothée Lacroix, Jiacheng Liu 0010, Wenda Li, Mateja Jamnik, Guillaume Lample, Yuhuai Wu |
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar |
Supervision Complexity and its Role in Knowledge Distillation. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi |
Auto-Encoding Goodness of Fit. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Yuxuan Cai, Yizhuang Zhou, Qi Han, Jianjian Sun, Xiangwen Kong, Jun Li, Xiangyu Zhang 0005 |
Reversible Column Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Ankit Vani, Michael Noukhovitch, Kenji Kawaguchi, Aaron C. Courville |
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Jessica Maghakian, Paul Mineiro, Kishan Panaganti, Mark Rucker, Akanksha Saran, Cheng Tan |
Personalized Reward Learning with Interaction-Grounded Learning (IGL). |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Misha Belkin |
Restricted Strong Convexity of Deep Learning Models with Smooth Activations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Nicholas Carlini, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Florian Tramèr, Chiyuan Zhang |
Quantifying Memorization Across Neural Language Models. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Anne Harrington, Vasha DuTell, Ayush Tewari, Mark Hamilton, Simon Stent, Ruth Rosenholtz, William T. Freeman |
Exploring perceptual straightness in learned visual representations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhiyuan Zeng, Deyi Xiong |
SCoMoE: Efficient Mixtures of Experts with Structured Communication. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Zhen Lin, Shubhendu Trivedi, Jimeng Sun 0001 |
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Jaehyun Nam, Jihoon Tack, Kyungmin Lee, Hankook Lee, Jinwoo Shin |
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Bohang Zhang, Shengjie Luo, Liwei Wang 0001, Di He 0001 |
Rethinking the Expressive Power of GNNs via Graph Biconnectivity. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Aaron Traylor, Roman Feiman, Ellie Pavlick |
Can Neural Networks Learn Implicit Logic from Physical Reasoning? |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Shuangshuang Chen, Sihao Ding 0002, Yiannis Karayiannidis, Mårten Björkman |
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Michael Chang 0003, Alyssa L. Dayan, Franziska Meier, Thomas L. Griffiths 0001, Sergey Levine, Amy Zhang 0001 |
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Jake Snell, Thomas P. Zollo, Zhun Deng, Toniann Pitassi, Richard S. Zemel |
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu 0012 |
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann |
Grounding Graph Network Simulators using Physical Sensor Observations. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Duy Nguyen, Ngoc Bui, Viet Anh Nguyen |
Distributionally Robust Recourse Action. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Sajad Movahedi, Melika Adabinejad, Ayyoob Imani, Arezou Keshavarz, Mostafa Dehghani 0001, Azadeh Shakery, Babak Nadjar Araabi |
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Trenton Bricken, Xander Davies, Deepak Singh, Dmitry Krotov, Gabriel Kreiman |
Sparse Distributed Memory is a Continual Learner. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Stephen Marcus McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm |
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. |
ICLR |
2023 |
DBLP BibTeX RDF |
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| 1 | Ruiquan Huang, Jing Yang 0002, Yingbin Liang |
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL. |
ICLR |
2023 |
DBLP BibTeX RDF |
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