Poster "generalization performance" Papers
16 papers found
Data Scaling Laws in Imitation Learning for Robotic Manipulation
Fanqi Lin, Yingdong Hu, Pingyue Sheng et al.
ICLR 2025posterarXiv:2410.18647
115
citations
Detecting Adversarial Data Using Perturbation Forgery
Qian Wang, Chen Li, Yuchen Luo et al.
CVPR 2025posterarXiv:2405.16226
2
citations
Epistemic Uncertainty for Generated Image Detection
Jun Nie, Yonggang Zhang, Tongliang Liu et al.
NeurIPS 2025posterarXiv:2412.05897
1
citations
How Memory in Optimization Algorithms Implicitly Modifies the Loss
Matias Cattaneo, Boris Shigida
NeurIPS 2025posterarXiv:2502.02132
Optimizing importance weighting in the presence of sub-population shifts
Floris Holstege, Bram Wouters, Noud Giersbergen et al.
ICLR 2025posterarXiv:2410.14315
1
citations
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length
Zihan Yu, Jingtao Ding, Yong Li et al.
ICLR 2025posterarXiv:2411.03753
7
citations
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
Mingze Wang, Zeping Min, Lei Wu
ICML 2024posterarXiv:2311.14387
Deep Fusion: Efficient Network Training via Pre-trained Initializations
Hanna Mazzawi, Xavi Gonzalvo, Michael Wunder et al.
ICML 2024posterarXiv:2306.11903
Foster Adaptivity and Balance in Learning with Noisy Labels
Mengmeng Sheng, Zeren Sun, Tao Chen et al.
ECCV 2024posterarXiv:2407.02778
14
citations
From Inverse Optimization to Feasibility to ERM
Saurabh Mishra, Anant Raj, Sharan Vaswani
ICML 2024poster
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
Han Fang, Zhihao Song, Paul Weng et al.
ICML 2024poster
Lookbehind-SAM: k steps back, 1 step forward
Gonçalo Mordido, Pranshu Malviya, Aristide Baratin et al.
ICML 2024posterarXiv:2307.16704
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations
Yiming Zuo, Jia Deng
ECCV 2024posterarXiv:2406.11711
22
citations
Pi-DUAL: Using privileged information to distinguish clean from noisy labels
Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton et al.
ICML 2024posterarXiv:2310.06600
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
Yajie Bao, Michael Crawshaw, Mingrui Liu
ICML 2024poster
Weisfeiler-Leman at the margin: When more expressivity matters
Billy Franks, Christopher Morris, Ameya Velingker et al.
ICML 2024posterarXiv:2402.07568