ICLR 2021 Conference Submissions

GENERATIVE MODEL-ENHANCED HUMAN MOTION PREDICTION
Anthony Bourached, Ryan-Rhys Griffiths, Robert Gray, Ashwani Jha, Parashkev Nachev
- 03 Oct 2020 (modified: 22 Oct 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Net-DNF: Effective Deep Modeling of Tabular Data
Liran Katzir, Gal Elidan, Ran El-Yaniv
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Predicting Inductive Biases of Pre-Trained Models
Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
FMix: Enhancing Mixed Sample Data Augmentation
Ethan Harris, Antonia Marcu, Matthew Painter, Mahesan Niranjan, Adam Prugel-Bennett, Jonathon Hare
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
A Theory of Self-Supervised Framework for Few-Shot Learning
Zhong Cao, Jiang Lu, Jian Liang, Changshui Zhang
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Optimism in Reinforcement Learning with Generalized Linear Function Approximation
Yining Wang, Ruosong Wang, Simon Shaolei Du, Akshay Krishnamurthy
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures
Benjamin Kompa, Jasper Snoek, Andrew Beam
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Deep Reinforcement Learning For Wireless Scheduling with Multiclass Services
Apostolos Avranas, Marios Kountouris, Philippe Ciblat
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Neural Lyapunov Model Predictive Control
Mayank Mittal, Marco Gallieri, Alessio Quaglino, Seyed Sina Mirrazavi Salehian, Jan Koutnik
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Connecting Sphere Manifolds Hierarchically for Regularization
Damien Scieur, Youngsung Kim
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Model-Free Counterfactual Credit Assignment
Thomas Mesnard, Theophane Weber, Fabio Viola, Shantanu Thakoor, Alaa Saade, Anna Harutyunyan, Will Dabney, Tom Stepleton, Nicolas Heess, Marcus Hutter, Lars Holger Buesing, Remi Munos
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning
Yueheng Li, Tianhao Zhang, Chen Wang, Jinan Sun, Shikun Zhang, Guangming Xie
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Hellinger Distance Constrained Regression
Egor Rotinov
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Collaborative Filtering with Smooth Reconstruction of the Preference Function
Ali Shirali, Reza Kazemi, Arash Amini
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
A Real-time Contribution Measurement Method for Participants in Federated Learning
Bingjie Yan, Yize Zhou, Boyi Liu, Jun Wang, Yuhan Zhang, Li Liu, Xiaolan Nie, Zhiwei Fan, Zhixuan Liang
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Learned Threshold Pruning
Kambiz Azarian, Yash Sanjay Bhalgat, Jinwon Lee, Tijmen Blankevoort
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Expressive yet Tractable Bayesian Deep Learning via Subnetwork Inference
Erik Daxberger, Eric Nalisnick, James Allingham, Javier Antoran, José Miguel Hernández-Lobato
- 28 Sept 2020 (modified: 22 Oct 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
High-Likelihood Area Matters --- Rewarding Correct,Rare Predictions Under Imbalanced Distributions
guangxiang zhao, Lei Li, Xuancheng Ren, Xu Sun, Bin He
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Composite Adversarial Training for Multiple Adversarial Perturbations and Beyond
Xinyang Zhang, Zheng Zhang, Ting Wang
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Learning Representation in Colour Conversion
Arash Akbarinia, Raquel Gil-Rodriguez, Alban Flachot, Matteo Toscani
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Gradient-based tuning of Hamiltonian Monte Carlo hyperparameters
Andrew Campbell, Wenlong Chen, Vincent Stimper, José Miguel Hernández-Lobato, Yichuan Zhang
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
Representation and Bias in Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling
Ada Wan
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
A teacher-student framework to distill future trajectories
Alexander Neitz, Giambattista Parascandolo, Bernhard Schölkopf
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Episodic Memory for Learning Subjective-Timescale Models
Alexey Zakharov, Matthew Crosby, Zafeirios Fountas
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone