Papers
11,015 papers found
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel, Julien Mairal
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design
Wenhao Gao, Rocío Mercado, Connor W. Coley
An Agnostic Approach to Federated Learning with Class Imbalance
Zebang Shen, Juan Cervino, Hamed Hassani et al.
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models
Fan Bao, Chongxuan Li, Jun Zhu et al.
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation
Bingbin Liu, Elan Rosenfeld, Pradeep Kumar Ravikumar et al.
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch
Youzhi Luo, Shuiwang Ji
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder
Lys Sanz Moreta, Ola Rønning, Ahmad Salim Al-Sibahi et al.
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"
Asiri Wijesinghe, Qing Wang
An Experimental Design Perspective on Model-Based Reinforcement Learning
Viraj Mehta, Biswajit Paria, Jeff Schneider et al.
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie, Aditi Raghunathan, Percy Liang et al.
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
Zhimeng Jiang, Kaixiong Zhou, Zirui Liu et al.
Anisotropic Random Feature Regression in High Dimensions
Gabriel Mel, Jeffrey Pennington
Anomaly Detection for Tabular Data with Internal Contrastive Learning
Tom Shenkar, Lior Wolf
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy
Jiehui Xu, Haixu Wu, Jianmin Wang et al.
A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS
Namjoon Suh, Hyunouk Ko, Xiaoming Huo
An Operator Theoretic View On Pruning Deep Neural Networks
William T Redman, MARIA FONOBEROVA, Ryan Mohr et al.
Anti-Concentrated Confidence Bonuses For Scalable Exploration
Jordan T. Ash, Cyril Zhang, Surbhi Goel et al.
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice
Peihao Wang, Wenqing Zheng, Tianlong Chen et al.
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji, Yiping Lu, Yiliang Zhang et al.
Anytime Dense Prediction with Confidence Adaptivity
Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang et al.
A Program to Build E(N)-Equivariant Steerable CNNs
Gabriele Cesa, Leon Lang, Maurice Weiler
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
Yunchang Yang, Tianhao Wu, Han Zhong et al.
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning
Jiaxian Guo, Mingming Gong, Dacheng Tao