Papers
11,015 papers found
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 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.
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
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs
Yuan Cheng, Ruiquan Huang, Yingbin Liang et al.
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography
Akarsh Pokkunuru, Pedram Rooshenas, Thilo Strauss et al.
Improving Deep Policy Gradients with Value Function Search
Enrico Marchesini, Christopher Amato
Improving Deep Regression with Ordinal Entropy
Shihao Zhang, Linlin Yang, Michael Bi Mi et al.
Improving Differentiable Neural Architecture Search by Encouraging Transferability
Parth Sheth, Pengtao Xie
Improving Object-centric Learning with Query Optimization
Baoxiong Jia, Yu Liu, Siyuan Huang
Improving Out-of-distribution Generalization with Indirection Representations
Kha Pham, Hung Le, Man Ngo et al.
Improving the imputation of missing data with Markov Blanket discovery
Yang Liu, Anthony Constantinou