Papers
Task-Robust Model-Agnostic Meta-Learning
Liam Collins, Aryan Mokhtari, Sanjay Shakkottai
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
Heng Yang, Luca Carlone
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schäfl, Milena Pavlović et al.
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky et al.
Interpretable Sequence Learning for Covid-19 Forecasting
Sercan Arik, Chun-Liang Li, Jinsung Yoon et al.
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
Juntang Zhuang, Tommy Tang, Yifan Ding et al.
Preference-based Reinforcement Learning with Finite-Time Guarantees
Yichong Xu, Ruosong Wang, Lin Yang et al.
Deep Metric Learning with Spherical Embedding
Dingyi Zhang, Yingming Li, Zhongfei Zhang
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection
Wen-Da Jin, Jun Xu, Ming-Ming Cheng et al.
Collegial Ensembles
Etai Littwin, Ben Myara, Sima Sabah et al.
Neural Non-Rigid Tracking
Aljaz Bozic, Pablo Palafox, Michael Zollhöfer et al.
Weak Form Generalized Hamiltonian Learning
Kevin Course, Trefor Evans, Prasanth Nair
Learning Agent Representations for Ice Hockey
Guiliang Liu, Oliver Schulte, Pascal Poupart et al.
Meta-trained agents implement Bayes-optimal agents
Vladimir Mikulik, Grégoire Delétang, Tom McGrath et al.
Learning Optimal Representations with the Decodable Information Bottleneck
Yann Dubois, Douwe Kiela, David J Schwab et al.
Supervised Contrastive Learning
Prannay Khosla, Piotr Teterwak, Chen Wang et al.
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
Pantelis Elinas, Edwin V. Bonilla, Louis Tiao
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables
Zhe Dong, Andriy Mnih, George Tucker
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space
Ekin Dogus Cubuk, Barret Zoph, Jon Shlens et al.
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference
Disi Ji, Padhraic Smyth, Mark Steyvers
Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori, Achal Dave, Vaishaal Shankar et al.
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling
Viet Huynh, He Zhao, Dinh Phung
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction
Aviral Kumar, Abhishek Gupta, Sergey Levine