Papers
11,015 papers found
Spreading vectors for similarity search
Alexandre Sablayrolles, Matthijs Douze, Cordelia Schmid et al.
Stable Opponent Shaping in Differentiable Games
Alistair Letcher, Jakob Foerster, David Balduzzi et al.
Stable Recurrent Models
John Miller, Moritz Hardt
STCN: Stochastic Temporal Convolutional Networks
Emre Aksan, Otmar Hilliges
Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Navid Azizan, Babak Hassibi
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Aditya Grover, Eric Wang, Aaron Zweig et al.
Stochastic Prediction of Multi-Agent Interactions from Partial Observations
Chen Sun, Per Karlsson, Jiajun Wu et al.
StrokeNet: A Neural Painting Environment
Ningyuan Zheng, Yifan Jiang, Dingjiang Huang
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu, Sijia Liu, Pu Zhao et al.
Structured Neural Summarization
Patrick Fernandes, Miltiadis Allamanis, Marc Brockschmidt
Subgradient Descent Learns Orthogonal Dictionaries
Yu Bai, Qijia Jiang, Ju Sun
Supervised Community Detection with Line Graph Neural Networks
Zhengdao Chen, Lisha Li, Joan Bruna
Supervised Policy Update for Deep Reinforcement Learning
Quan Vuong, Yiming Zhang, Keith W. Ross
Synthetic Datasets for Neural Program Synthesis
Richard Shin, Neel Kant, Kavi Gupta et al.
Systematic Generalization: What Is Required and Can It Be Learned?
Dzmitry Bahdanau*, Shikhar Murty*, Michael Noukhovitch et al.
Temporal Difference Variational Auto-Encoder
Karol Gregor, George Papamakarios, Frederic Besse et al.
textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
Pankaj Gupta, Yatin Chaudhary, Florian Buettner et al.
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure
Frederic Koehler, Andrej Risteski
The Deep Weight Prior
Andrei Atanov, Arsenii Ashukha, Kirill Struminsky et al.
The Laplacian in RL: Learning Representations with Efficient Approximations
Yifan Wu, George Tucker, Ofir Nachum
The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang*, Hongge Chen*, Zhao Song et al.
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle, Michael Carbin
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli et al.
Theoretical Analysis of Auto Rate-Tuning by Batch Normalization
Sanjeev Arora, Zhiyuan Li, Kaifeng Lyu
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov et al.