Papers
11,015 papers found
Self-Adversarial Learning with Comparative Discrimination for Text Generation
Wangchunshu Zhou, Tao Ge, Ke Xu et al.
Self-labelling via simultaneous clustering and representation learning
Asano YM., Rupprecht C., Vedaldi A.
SELF: Learning to Filter Noisy Labels with Self-Ensembling
Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi Phuong Nhung Ngo et al.
Self-Supervised Learning of Appliance Usage
Chen-Yu Hsu, Abbas Zeitoun, Guang-He Lee et al.
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Guizilini, Rui Hou, Jie Li et al.
Semi-Supervised Generative Modeling for Controllable Speech Synthesis
Raza Habib, Soroosh Mariooryad, Matt Shannon et al.
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim, Jaewoo Ahn, Gunhee Kim
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo D'Eramo, Davide Tateo, Andrea Bonarini et al.
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
Leopold Cambier, Anahita Bhiwandiwalla, Ting Gong et al.
Short and Sparse Deconvolution --- A Geometric Approach
Yenson Lau, Qing Qu, Han-Wen Kuo et al.
Sign Bits Are All You Need for Black-Box Attacks
Abdullah Al-Dujaili, Una-May O'Reilly
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack
Minhao Cheng, Simranjit Singh, Patrick H. Chen et al.
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
Wei Hu, Zhiyuan Li, Dingli Yu
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning
Hengyuan Hu, Jakob N Foerster
Single Episode Policy Transfer in Reinforcement Learning
Jiachen Yang, Brenden Petersen, Hongyuan Zha et al.
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets
Dongxian Wu, Yisen Wang, Shu-Tao Xia et al.
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations
Soheil Kolouri, Nicholas A. Ketz, Andrea Soltoggio et al.
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
Jianyu Wang, Vinayak Tantia, Nicolas Ballas et al.
Smooth markets: A basic mechanism for organizing gradient-based learners
David Balduzzi, Wojciech M. Czarnecki, Tom Anthony et al.
Smoothness and Stability in GANs
Casey Chu, Kentaro Minami, Kenji Fukumizu
SNODE: Spectral Discretization of Neural ODEs for System Identification
Alessio Quaglino, Marco Gallieri, Jonathan Masci et al.
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks
Chungkuk Yoo, Bumsoo Kang, Minsik Cho
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition
Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri et al.
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation
Rajesh Jayaram, David P. Woodruff, Qiuyi Zhang
Sparse Coding with Gated Learned ISTA
Kailun Wu, Yiwen Guo, Ziang Li et al.