Papers
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond
Wenbo Li, Kun Zhou, Lu Qi et al.
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu, Jonathan Niles-Weed, Narges Razavian et al.
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising
Yaochen Xie, Zhengyang Wang, Shuiwang Ji
A Study on Encodings for Neural Architecture Search
Colin White, Willie Neiswanger, Sam Nolen et al.
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses
Gaurang Sriramanan, Sravanti Addepalli, Arya Baburaj et al.
Factorizable Graph Convolutional Networks
Yiding Yang, Zunlei Feng, Mingli Song et al.
Instance Based Approximations to Profile Maximum Likelihood
Nima Anari, Moses Charikar, Kirankumar Shiragur et al.
Latent Template Induction with Gumbel-CRFs
Yao Fu, Chuanqi Tan, Bin Bi et al.
Improving Sparse Vector Technique with Renyi Differential Privacy
Yuqing Zhu, Yu-Xiang Wang
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Stephen Mcaleer, JB Lanier, Roy Fox et al.
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge
Alon Talmor, Oyvind Tafjord, Peter Clark et al.
A mean-field analysis of two-player zero-sum games
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch et al.
Confidence sequences for sampling without replacement
Ian Waudby-Smith, Aaditya Ramdas
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval
Fan Wu, Patrick Rebeschini
A Simple Language Model for Task-Oriented Dialogue
Ehsan Hosseini-Asl, Bryan McCann, Chien-Sheng Wu et al.
PIE-NET: Parametric Inference of Point Cloud Edges
Xiaogang Wang, Yuelang Xu, Kai Xu et al.
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
Katja Schwarz, Yiyi Liao, Michael Niemeyer et al.
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search
Tarun Gogineni, Ziping Xu, Exequiel Punzalan et al.
Bayesian Optimization of Risk Measures
Sait Cakmak, Raul Astudillo Marban, Peter Frazier et al.
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu et al.
A Class of Algorithms for General Instrumental Variable Models
Niki Kilbertus, Matt J Kusner, Ricardo Silva
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
Alekh Agarwal, Sham Kakade, Akshay Krishnamurthy et al.
The Primal-Dual method for Learning Augmented Algorithms
Etienne Bamas, Andreas Maggiori, Ola Svensson
Regression with reject option and application to kNN
Ahmed Zaoui, Christophe Denis, Mohamed Hebiri
On the universality of deep learning
Emmanuel Abbe, Colin Sandon