Papers
11,955 papers found
Hyper-Decision Transformer for Efficient Online Policy Adaptation
Mengdi Xu, Yuchen Lu, Yikang Shen et al.
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Jae Yong Lee, SungWoong CHO, Hyung Ju Hwang
Hyperparameter Optimization through Neural Network Partitioning
Bruno Kacper Mlodozeniec, Matthias Reisser, Christos Louizos
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
Pei Chen, Soumajyoti Sarkar, Leonard Lausen et al.
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models
Jie Zhang, Chen Chen, Lingjuan Lyu
Identifiability Results for Multimodal Contrastive Learning
Imant Daunhawer, Alice Bizeul, Emanuele Palumbo et al.
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
Chiu Wai Yan, Tsz-Him Cheung, Dit-Yan Yeung
Image as Set of Points
Xu Ma, Yuqian Zhou, Huan Wang et al.
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero et al.
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Kazuki Irie, Jürgen Schmidhuber
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction
David Klee, Ondrej Biza, Robert Platt et al.
ImaginaryNet: Learning Object Detectors without Real Images and Annotations
Minheng Ni, Zitong Huang, Kailai Feng et al.
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier
Renzhen Wang, Xixi Jia, Quanziang Wang et al.
Imitating Graph-Based Planning with Goal-Conditioned Policies
Junsu Kim, Younggyo Seo, Sungsoo Ahn et al.
Imitating Human Behaviour with Diffusion Models
Tim Pearce, Tabish Rashid, Anssi Kanervisto et al.
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data
Spencer Frei, Gal Vardi, Peter Bartlett et al.
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion
Haifeng Wang, Jinchi Chen, Ke Wei
Implicit Regularization for Group Sparsity
Jiangyuan Li, Thanh V Nguyen, Chinmay Hegde et al.
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
Avrajit Ghosh, He Lyu, Xitong Zhang et al.
Impossibly Good Experts and How to Follow Them
Aaron Walsman, Muru Zhang, Sanjiban Choudhury et al.
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI
Bochuan Cao, Changjiang Li, Ting Wang et al.
Improved Convergence of Differential Private SGD with Gradient Clipping
Huang Fang, Xiaoyun Li, Chenglin Fan et al.
Improved Learning-augmented Algorithms for k-means and k-medians Clustering
Thy Dinh Nguyen, Anamay Chaturvedi, Huy Nguyen