Papers
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation
Chun-Hsing Lin, Siang-Ruei Wu, Hung-yi Lee et al.
Teaching a GAN What Not to Learn
Siddarth Asokan, Chandra Seelamantula
Telescoping Density-Ratio Estimation
Benjamin Rhodes, Kai Xu, Michael U. Gutmann
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation
Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny et al.
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Wenrui Zhang, Peng Li
Temporal Variability in Implicit Online Learning
Nicolò Campolongo, Francesco Orabona
Tensor Completion Made Practical
Allen Liu, Ankur Moitra
Testing Determinantal Point Processes
Khashayar Gatmiry, Maryam Aliakbarpour, Stefanie Jegelka
Texture Interpolation for Probing Visual Perception
Jonathan Vacher, Aida Davila, Adam Kohn et al.
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation
Ron Kupfer, Sharon Qian, Eric Balkanski et al.
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning
Giulia Denevi, Massimiliano Pontil, Carlo Ciliberto
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed, Ilias Zadik
The Autoencoding Variational Autoencoder
Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham et al.
The Complete Lasso Tradeoff Diagram
Hua Wang, Yachong Yang, Zhiqi Bu et al.
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
Ilias Diakonikolas, Daniel M. Kane, Pasin Manurangsi
The Cone of Silence: Speech Separation by Localization
Teerapat Jenrungrot, Vivek Jayaram, Steve Seitz et al.
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification
Christian Tjandraatmadja, Ross Anderson, Joey Huchette et al.
The Convolution Exponential and Generalized Sylvester Flows
Emiel Hoogeboom, Victor Garcia Satorras, Jakub Tomczak et al.
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models
Yingxiang Yang, Negar Kiyavash, Le Song et al.
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification
Yihao Lv, Youzhi Gu, Liu Xinggao
The Discrete Gaussian for Differential Privacy
Clément L Canonne, Gautam Kamath, Thomas Steinke
The Diversified Ensemble Neural Network
Shaofeng Zhang, Meng Liu, Junchi Yan
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space
Adam Smith, Shuang Song, Abhradeep Guha Thakurta
The Generalization-Stability Tradeoff In Neural Network Pruning
Brian Bartoldson, Ari Morcos, Adrian Barbu et al.
The Generalized Lasso with Nonlinear Observations and Generative Priors
Zhaoqiang Liu, Jonathan Scarlett