MONOTONIC DIFFERENTIABLE SORTING NETWORKS
- Felix Petersen
- Christian Borgelt
- et al.
- 2022
- ICLR 2022
Conference paper
Publications
EQUIVARIANT CONTRASTIVE LEARNING
- Rumen Dangovski
- Li Jing
- et al.
- 2022
- ICLR 2022
Conference paperPROOF ARTIFACT CO-TRAINING FOR THEOREM PROVING WITH LANGUAGE MODELS
- Jesse Michael Han
- Jason Rute
- et al.
- 2022
- ICLR 2022
Conference paperCASE-BASED REASONING FOR BETTER GENERALIZATION IN TEXTUAL REINFORCEMENT LEARNING
- Mattia Atzeni
- Shehzaad Dhuliawala
- et al.
- 2022
- ICLR 2022
Conference paperNETWORK INSENSITIVITY TO PARAMETER NOISE VIA ADVERSARIAL REGULARIZATION
- Julian Büchel
- Fynn Faber
- et al.
- 2022
- ICLR 2022
Conference paperADARL: WHAT, WHERE, AND HOW TO ADAPT IN TRANSFER REINFORCEMENT LEARNING
- Biwei Huang
- Fan Feng
- et al.
- 2022
- ICLR 2022
Conference paperMULTI-CRITIC ACTOR LEARNING: TEACHING RL POLICIES TO ACT WITH STYLE
- Siddharth Mysore
- George Cheng
- et al.
- 2022
- ICLR 2022
Conference paperVariational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion
- Kohei Miyaguchi
- Takayuki Katsuki
- et al.
- 2022
- ICLR 2022
Conference paperVAQEM: A Variational Approach to Quantum Error Mitigation
- Gokul Subramanian Ravi
- Kaitlin N. Smith
- et al.
- 2022
- HPCA 2022
Conference paperModel for simulations of the CnEm nonionic surfactant family derived from recent experimental results
- William Swope
- Michael Johnston
- et al.
- 2022
- ACS Spring 2022
Conference paper