Papers
11,955 papers found
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.
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning
Hao Hu, Yiqin Yang, Qianchuan Zhao et al.
The Role of Coverage in Online Reinforcement Learning
Tengyang Xie, Dylan J Foster, Yu Bai et al.
The Role of ImageNet Classes in Fréchet Inception Distance
Tuomas Kynkäänniemi, Tero Karras, Miika Aittala et al.
The Surprising Computational Power of Nondeterministic Stack RNNs
Brian DuSell, David Chiang
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry
Dian Wang, Jung Yeon Park, Neel Sortur et al.
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
Ian Gemp, Charlie Chen, Brian McWilliams
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection
Griffin Floto, Stefan Kremer, Mihai Nica
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
Zhenmei Shi, Jiefeng Chen, Kunyang Li et al.
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita et al.