Papers
11,015 papers found
Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.
Cuiyu Liu, Xiao Chuanfu, Mingshuo Ding et al.
Test-Time Adaptation via Self-Training with Nearest Neighbor Information
Minguk Jang, Sae-Young Chung, Hye Won Chung
Test-Time Robust Personalization for Federated Learning
Liangze Jiang, Tao Lin
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization
Bairu Hou, Jinghan Jia, Yihua Zhang et al.
TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification
Lingfeng Shen, Ze Zhang, Haiyun Jiang et al.
Text Summarization with Oracle Expectation
Yumo Xu, Mirella Lapata
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation
Kilian Zepf, Eike Petersen, Jes Frellsen et al.
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
Daniel Kunin, Atsushi Yamamura, Chao Ma et al.
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image
Yuki M Asano, Aaqib Saeed
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation
Huancheng Chen, Chianing Wang, Haris Vikalo
The Curious Case of Benign Memorization
Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci et al.
The Dark Side of AutoML: Towards Architectural Backdoor Search
Ren Pang, Changjiang Li, Zhaohan Xi et al.
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition
Jun CEN, Di Luan, Shiwei Zhang et al.
The hidden uniform cluster prior in self-supervised learning
Mido Assran, Randall Balestriero, Quentin Duval et al.
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
Mor Shpigel Nacson, Rotem Mulayoff, Greg Ongie et al.
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks
Blake Bordelon, Cengiz Pehlevan
The In-Sample Softmax for Offline Reinforcement Learning
Chenjun Xiao, Han Wang, Yangchen Pan et al.
The KFIoU Loss for Rotated Object Detection
Xue Yang, Yue Zhou, Gefan Zhang et al.
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers
Zonglin Li, Chong You, Srinadh Bhojanapalli et al.
The Lie Derivative for Measuring Learned Equivariance
Nate Gruver, Marc Anton Finzi, Micah Goldblum et al.
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
Zihui Xue, Zhengqi Gao, Sucheng Ren et al.
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes
Alexander Atanasov, Blake Bordelon, Sabarish Sainathan et al.
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
Peizhong Ju, Yingbin Liang, Ness Shroff
The Power of Regularization in Solving Extensive-Form Games
Mingyang Liu, Asuman E. Ozdaglar, Tiancheng Yu et al.