ICLR

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew Hausknecht

Comments ICLR 2021; Data, code, and videos are available at alfworld.github.io

Degree-Quant: Quantization-Aware Training for Graph Neural Networks

Shyam A. Tailor, Javier Fernandez-Marques, Nicholas D. Lane

Comments Published as a conference paper at ICLR 2021

Randomized Automatic Differentiation

Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P. Adams

Comments ICLR 2021

Rethinking Positional Encoding in Language Pre-training

Guolin Ke, Di He, Tie-Yan Liu

Comments update to ICLR's version

Journal ref International Conference on Learning Representations (ICLR) 2021, https://openreview.net/forum?id=09-528y2Fgf

A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning

Samuel Horváth, Peter Richtárik

Comments 10 pages, 7 figures, published as a conference paper at ICLR 2021

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models

Ke Sun, Zhanxing Zhu, Zhouchen Lin

Comments Published on International Conference on Learning Representations (ICLR) 2021

Large Batch Simulation for Deep Reinforcement Learning

Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

Comments Published as a conference paper at ICLR 2021

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization

Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Du, Yu Wang, Yi Wu

Comments Accepted paper on ICLR 2021. First two authors share equal contribution

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Ali Harakeh, Steven L. Waslander

Comments Published as a conference paper at ICLR 2021. Link: https://openreview.net/forum?id=YLewtnvKgR7. This is the final camera-ready version

Teaching with Commentaries

Aniruddh Raghu, Maithra Raghu, Simon Kornblith, David Duvenaud, Geoffrey Hinton

Comments ICLR 2021

Intraclass clustering: an implicit learning ability that regularizes DNNs

Carbonnelle Simon, Christophe De Vleeschouwer

Comments Published as a conference paper at ICLR 2021

Fair Mixup: Fairness via Interpolation

Ching-Yao Chuang, Youssef Mroueh

Journal ref ICLR 2021

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders

Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin

Comments Accepted by the 9th International Conference on Learning Representations (ICLR 2021)

Learnable Embedding Sizes for Recommender Systems

Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li

Comments International Conference on Learning Representations (ICLR), 2021

On the Transfer of Disentangled Representations in Realistic Settings

Andrea Dittadi, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, Bernhard Schölkopf

Comments Published at ICLR 2021

Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies

Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed

Comments ICLR 2021, code can be found at http://github.com/pliang279/sparse_discrete

Contrastive Learning with Adversarial Perturbations for Conditional Text Generation

Seanie Lee, Dong Bok Lee, Sung Ju Hwang

Comments ICLR 2021

Faster Binary Embeddings for Preserving Euclidean Distances

Jinjie Zhang, Rayan Saab

Comments Published as a conference paper at ICLR 2021

Continual Learning in Recurrent Neural Networks

Benjamin Ehret, Christian Henning, Maria R. Cervera, Alexander Meulemans, Johannes von Oswald, Benjamin F. Grewe

Comments Published at ICLR 2021

Isometric Transformation Invariant and Equivariant Graph Convolutional Networks

Masanobu Horie, Naoki Morita, Toshiaki Hishinuma, Yu Ihara, Naoto Mitsume

Comments Published as a conference paper at ICLR 2021

On the Bottleneck of Graph Neural Networks and its Practical Implications

Uri Alon, Eran Yahav

Comments Accepted to ICLR'2021

Stabilized Medical Image Attacks

Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

Comments ICLR 2021 (Spotlight)

Domain-Robust Visual Imitation Learning with Mutual Information Constraints

Edoardo Cetin, Oya Celiktutan

Comments Presented at ICLR 2021

Differentiable Trust Region Layers for Deep Reinforcement Learning

Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann

Comments Accepted at ICLR 2021, camera ready version

Contextual Dropout: An Efficient Sample-Dependent Dropout Module

Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou

Journal ref ICLR 2021

Learning to Generate 3D Shapes with Generative Cellular Automata

Dongsu Zhang, Changwoon Choi, Jeonghwan Kim, Young Min Kim

Comments ICLR 2021

Colorization Transformer

Manoj Kumar, Dirk Weissenborn, Nal Kalchbrenner

Comments ICLR 2021 Camera Ready. See https://openreview.net/forum?id=5NA1PinlGFu for more details

On the mapping between Hopfield networks and Restricted Boltzmann Machines

Matthew Smart, Anton Zilman

Comments ICLR 2021 oral paper

Journal ref The 9th International Conference on Learning Representations (ICLR 2021)

Unsupervised Object Keypoint Learning using Local Spatial Predictability

Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber

Comments Accepted to ICLR 2021

Efficient Generalized Spherical CNNs

Oliver J. Cobb, Christopher G. R. Wallis, Augustine N. Mavor-Parker, Augustin Marignier, Matthew A. Price, Mayeul d'Avezac, Jason D. McEwen

Comments 20 pages, 4 figures, accepted by ICLR, code at https://www.kagenova.com/products/fourpiAI/