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期刊&会议

International Conference on Learning Representations · 会议 · Machine Learning

共收录 9457
2106.02695 2022-03-18 cs.LG

Meta-Learning with Fewer Tasks through Task Interpolation

Huaxiu Yao, Linjun Zhang, Chelsea Finn

Comments Accepted by ICLR 2022 (Oral)

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2103.09716 2022-03-18 cs.CV cs.LG

Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation

Yang Zhao, Hao Zhang

Comments Conference paper at ICLR 2022

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2102.07835 2022-03-18 cs.LG math.AT stat.ML

Topological Graph Neural Networks

Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten Borgwardt

Journal ref Tenth International Conference on Learning Representations (ICLR), 2022

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2006.08812 2022-03-18 cs.LG stat.ML

Augmented Sliced Wasserstein Distances

Xiongjie Chen, Yongxin Yang, Yunpeng Li

Comments 37 pages, 19 figures, published as a conference paper at ICLR 2022

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2203.08725 2022-03-17 cs.LG cs.CR cs.CV

Attacking deep networks with surrogate-based adversarial black-box methods is easy

Nicholas A. Lord, Romain Mueller, Luca Bertinetto

Comments ICLR 2022

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2203.08398 2022-03-17 cs.LG cs.CR

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks

Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

Comments Published as a conference paper at ICLR 2022

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2203.08332 2022-03-17 cs.CV

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

Comments Accepted by ICLR 2022

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2203.08243 2022-03-17 cs.LG cs.CV

Unified Visual Transformer Compression

Shixing Yu, Tianlong Chen, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Liu, Zhangyang Wang

Comments Accepted by ICLR'22

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2202.01011 2022-03-17 cs.LG cs.AI cs.CV

Auto-Transfer: Learning to Route Transferrable Representations

Keerthiram Murugesan, Vijay Sadashivaiah, Ronny Luss, Karthikeyan Shanmugam, Pin-Yu Chen, Amit Dhurandhar

Comments Camera ready ICLR 2022

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2201.01251 2022-03-17 cs.CL

Multi-Stage Episodic Control for Strategic Exploration in Text Games

Jens Tuyls, Shunyu Yao, Sham Kakade, Karthik Narasimhan

Comments ICLR 2022 (Spotlight) - https://sites.google.com/princeton.edu/xtx

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2112.03126 2022-03-17 cs.CV cs.LG

Label-Efficient Semantic Segmentation with Diffusion Models

Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, Artem Babenko

Comments ICLR'2022; v3: camera ready

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2111.11146 2022-03-17 cs.LG cs.AI stat.ML

On the Existence of Universal Lottery Tickets

Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos

Comments Accepted for publication at The Tenth International Conference on Learning Representations (ICLR 2022)

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2110.14216 2022-03-17 cs.LG cs.DC stat.ML

What Do We Mean by Generalization in Federated Learning?

Honglin Yuan, Warren Morningstar, Lin Ning, Karan Singhal

Comments Accepted to ICLR 2022. Code repository see https://bit.ly/fl-generalization

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2110.05357 2022-03-17 cs.LG cs.AI

Graph-Guided Network for Irregularly Sampled Multivariate Time Series

Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik

Comments Accepted by ICLR 2022; https://github.com/mims-harvard/Raindrop

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2110.04135 2022-03-17 cs.LG cs.AI

Revisiting Design Choices in Offline Model-Based Reinforcement Learning

Cong Lu, Philip J. Ball, Jack Parker-Holder, Michael A. Osborne, Stephen J. Roberts

Comments Spotlight @ ICLR 2022; Spotlight @ RL4RealLife Workshop ICML2021

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2110.02034 2022-03-17 cs.LG cs.AI

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka

Comments ICLR 2022. Source code: https://github.com/TakuyaHiraoka/Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning Poster: https://drive.google.com/file/d/1_JSuwlUsMjzo6zRaAIcXXj3__AmOvu2t/view?usp=sharing Slides: https://drive.google.com/file/d/1ecq9SQ2KSNpfeblCkr6TYPz5gRk_Y4S8/view?usp=sharing

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2109.05490 2022-03-17 cs.LG cs.AI

HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation

Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang

Comments Accepted on ICLR 2022

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2109.04504 2022-03-17 cs.LG cs.AI stat.ML

Bootstrapped Meta-Learning

Sebastian Flennerhag, Yannick Schroecker, Tom Zahavy, Hado van Hasselt, David Silver, Satinder Singh

Comments Published at ICLR 2022. 37 pages, 19 figures, 9 tables

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2108.02327 2022-03-17 cs.LG

PI3NN: Out-of-distribution-aware prediction intervals from three neural networks

Siyan Liu, Pei Zhang, Dan Lu, Guannan Zhang

Journal ref ICLR 2022

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2107.14795 2022-03-17 cs.LG cs.CL cs.CV cs.SD eess.AS

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, Joāo Carreira

Comments ICLR 2022 camera ready. Code: https://dpmd.ai/perceiver-code

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2107.07905 2022-03-17 cs.CV cs.AI

Unsupervised Discovery of Object Radiance Fields

Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu

Comments ICLR 2022. Project page: https://kovenyu.com/uorf/

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2106.15147 2022-03-17 cs.LG cs.AI

SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption

Dara Bahri, Heinrich Jiang, Yi Tay, Donald Metzler

Comments ICLR 2022 Spotlight

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2106.12112 2022-03-17 cs.LG cs.RO math.OC

Bregman Gradient Policy Optimization

Feihu Huang, Shangqian Gao, Heng Huang

Comments Published in ICLR 2022

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2106.09848 2022-03-17 cs.LG stat.ML

PAC Prediction Sets Under Covariate Shift

Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

Comments Accepted to ICLR 2022

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2106.09292 2022-03-17 cs.LG

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li

Comments Published as a conference paper at ICLR 2022

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2106.06042 2022-03-17 cs.LG

FedBABU: Towards Enhanced Representation for Federated Image Classification

Jaehoon Oh, Sangmook Kim, Se-Young Yun

Comments Published at ICLR 2022

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2106.03719 2022-03-17 cs.CV

Incremental False Negative Detection for Contrastive Learning

Tsai-Shien Chen, Wei-Chih Hung, Hung-Yu Tseng, Shao-Yi Chien, Ming-Hsuan Yang

Comments ICLR 2022

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2106.02193 2022-03-17 cs.LG cs.AI

Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL

Bogdan Mazoure, Ahmed M. Ahmed, Patrick MacAlpine, R Devon Hjelm, Andrey Kolobov

Comments ICLR 2022

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2106.01613 2022-03-17 cs.LG

NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

Chun-Hao Chang, Rich Caruana, Anna Goldenberg

Comments 2022 ICLR Spotlight paper

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2102.06571 2022-03-17 stat.ML cs.LG

Bayesian Neural Network Priors Revisited

Vincent Fortuin, Adrià Garriga-Alonso, Sebastian W. Ober, Florian Wenzel, Gunnar Rätsch, Richard E. Turner, Mark van der Wilk, Laurence Aitchison

Comments Accepted at ICLR 2022

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