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Poster
Thu 9:00 Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
Zeyi Huang · Yang Zou · B. V. K. Vijaya Kumar · Dong Huang
Poster
Wed 9:00 Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri
Poster
Wed 9:00 Efficient Generation of Structured Objects with Constrained Adversarial Networks
Luca Di Liello · Pierfrancesco Ardino · Jacopo Gobbi · Paolo Morettin · Stefano Teso · Andrea Passerini
Spotlight
Thu 8:10 System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens
Poster
Tue 21:00 Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?
Qiwen Cui · Lin Yang
Poster
Tue 21:00 Measuring Robustness to Natural Distribution Shifts in Image Classification
Rohan Taori · Achal Dave · Vaishaal Shankar · Nicholas Carlini · Benjamin Recht · Ludwig Schmidt
Poster
Mon 21:00 Independent Policy Gradient Methods for Competitive Reinforcement Learning
Constantinos Daskalakis · Dylan Foster · Noah Golowich
Spotlight
Wed 8:00 Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
Victor Veitch · Anisha Zaveri
Poster
Wed 9:00 Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models
Andrew Jesson · Sören Mindermann · Uri Shalit · Yarin Gal
Poster
Thu 9:00 Deep active inference agents using Monte-Carlo methods
Zafeirios Fountas · Noor Sajid · Pedro Mediano · Karl Friston
Poster
Wed 9:00 Applications of Common Entropy for Causal Inference
Murat Kocaoglu · Sanjay Shakkottai · Alex Dimakis · Constantine Caramanis · Sriram Vishwanath
Poster
Thu 9:00 System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina
Cornelius Schröder · David Klindt · Sarah Strauss · Katrin Franke · Matthias Bethge · Thomas Euler · Philipp Berens