Papers
11,015 papers found
Training individually fair ML models with sensitive subspace robustness
Mikhail Yurochkin, Amanda Bower, Yuekai Sun
Training Recurrent Neural Networks Online by Learning Explicit State Variables
Somjit Nath, Vincent Liu, Alan Chan et al.
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds
Lukas Prantl, Nuttapong Chentanez, Stefan Jeschke et al.
Transferable Perturbations of Deep Feature Distributions
Nathan Inkawhich, Kevin Liang, Lawrence Carin et al.
Transferring Optimality Across Data Distributions via Homotopy Methods
Matilde Gargiani, Andrea Zanelli, Quoc Tran Dinh et al.
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention
Chen Zhao, Chenyan Xiong, Corby Rosset et al.
Tree-Structured Attention with Hierarchical Accumulation
Xuan-Phi Nguyen, Shafiq Joty, Steven Hoi et al.
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference
Ting-Kuei Hu, Tianlong Chen, Haotao Wang et al.
Truth or backpropaganda? An empirical investigation of deep learning theory
Micah Goldblum, Jonas Geiping, Avi Schwarzschild et al.
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation
Junho Kim, Minjae Kim, Hyeonwoo Kang et al.
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models
Yixuan Qiu, Lingsong Zhang, Xiao Wang
Uncertainty-guided Continual Learning with Bayesian Neural Networks
Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell et al.
Understanding and Improving Information Transfer in Multi-Task Learning
Sen Wu, Hongyang R. Zhang, Christopher Ré
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia et al.
Understanding Architectures Learnt by Cell-based Neural Architecture Search
Yao Shu, Wei Wang, Shaofeng Cai
Understanding Generalization in Recurrent Neural Networks
Zhuozhuo Tu, Fengxiang He, Dacheng Tao
Understanding Knowledge Distillation in Non-autoregressive Machine Translation
Chunting Zhou, Jiatao Gu, Graham Neubig
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness
Yuexiang Zhai, Hermish Mehta, Zhengyuan Zhou et al.
Understanding the Limitations of Conditional Generative Models
Ethan Fetaya, Joern-Henrik Jacobsen, Will Grathwohl et al.
Understanding the Limitations of Variational Mutual Information Estimators
Jiaming Song, Stefano Ermon
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
Jinlong Liu, Yunzhi Bai, Guoqing Jiang et al.
Universal Approximation with Certified Networks
Maximilian Baader, Matthew Mirman, Martin Vechev
Unpaired Point Cloud Completion on Real Scans using Adversarial Training
Xuelin Chen, Baoquan Chen, Niloy J. Mitra
Unrestricted Adversarial Examples via Semantic Manipulation
Anand Bhattad, Min Jin Chong, Kaizhao Liang et al.
Unsupervised Clustering using Pseudo-semi-supervised Learning
Divam Gupta, Ramachandran Ramjee, Nipun Kwatra et al.