Learning with Algorithmic Supervision via Continuous Relaxations
- Felix Petersen
- Christian Borgelt
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning
- Yining Hong
- Li Yi
- et al.
- 2021
- NeurIPS 2021
Conference paperRobust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paperTargeted Neural Dynamical Modeling
- Cole Hurwitz
- Akash Srivastava
- et al.
- 2021
- NeurIPS 2021
Conference paperDynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
- Ashraful Islam
- Richard Chen
- et al.
- 2021
- NeurIPS 2021
Conference paperWhy Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks
- Shuai Zhang
- Meng Weng
- et al.
- 2021
- NeurIPS 2021
Conference paperContrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
- Aadarsh Sahoo
- Rutav Shah
- et al.
- 2021
- NeurIPS 2021
Conference paperCausal Inference for Event Pairs in Multivariate Point Processes
- Tian Gao
- Shankar Subramaniam
- et al.
- 2021
- NeurIPS 2021
Conference paperAdaptive Proximal Gradient Methods for Structured Neural Networks
- Jihun Yun
- Aurelie Lozano
- et al.
- 2021
- NeurIPS 2021
Conference paper3DP3: 3D Scene Perception via Probabilistic Programming
- Nishad Gothoskar
- Marco Cusumano-Towner
- et al.
- 2021
- NeurIPS 2021
Conference paper