Papers
11,015 papers found
Sparse Quantized Spectral Clustering
Zhenyu Liao, Romain Couillet, Michael W. Mahoney
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling
Đorđe Miladinović, Aleksandar Stanić, Stefan Bauer et al.
Spatially Structured Recurrent Modules
Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal et al.
Spatio-Temporal Graph Scattering Transform
Chao Pan, Siheng Chen, Antonio Ortega
SSD: A Unified Framework for Self-Supervised Outlier Detection
Vikash Sehwag, Mung Chiang, Prateek Mittal
Stabilized Medical Image Attacks
Gege Qi, Lijun GONG, Yibing Song et al.
Statistical inference for individual fairness
Subha Maity, Songkai Xue, Mikhail Yurochkin et al.
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Mitch Hill, Jonathan Craig Mitchell, Song-Chun Zhu
Structured Prediction as Translation between Augmented Natural Languages
Giovanni Paolini, Ben Athiwaratkun, Jason Krone et al.
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau et al.
Support-set bottlenecks for video-text representation learning
Mandela Patrick, Po-Yao Huang, Yuki Asano et al.
Symmetry-Aware Actor-Critic for 3D Molecular Design
Gregor N. C. Simm, Robert Pinsler, Gábor Csányi et al.
Systematic generalisation with group invariant predictions
Faruk Ahmed, Yoshua Bengio, Harm van Seijen et al.
Taking Notes on the Fly Helps Language Pre-Training
Qiyu Wu, Chen Xing, Yatao Li et al.
Taming GANs with Lookahead-Minmax
Tatjana Chavdarova, Matteo Pagliardini, Sebastian U Stich et al.
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Jiawang Bai, Baoyuan Wu, Yong Zhang et al.
Task-Agnostic Morphology Evolution
Donald Joseph Hejna III, Pieter Abbeel, Lerrel Pinto
Teaching Temporal Logics to Neural Networks
Christopher Hahn, Frederik Schmitt, Jens U. Kreber et al.
Teaching with Commentaries
Aniruddh Raghu, Maithra Raghu, Simon Kornblith et al.
Temporally-Extended ε-Greedy Exploration
Will Dabney, Georg Ostrovski, Andre Barreto
Tent: Fully Test-Time Adaptation by Entropy Minimization
Dequan Wang, Evan Shelhamer, Shaoteng Liu et al.
Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang, He He
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
Preetum Nakkiran, Behnam Neyshabur, Hanie Sedghi
The geometry of integration in text classification RNNs
Kyle Aitken, Vinay Venkatesh Ramasesh, Ankush Garg et al.
The Importance of Pessimism in Fixed-Dataset Policy Optimization
Jacob Buckman, Carles Gelada, Marc G Bellemare