Papers
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training
Zeng Yihan, Chunwei Wang, Yunbo Wang et al.
Learning Treatment Effects in Panels with General Intervention Patterns
Vivek Farias, Andrew Li, Tianyi Peng
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning
Guiliang Liu, Xiangyu Sun, Oliver Schulte et al.
Learning where to learn: Gradient sparsity in meta and continual learning
Johannes von Oswald, Dominic Zhao, Seijin Kobayashi et al.
Learning with Algorithmic Supervision via Continuous Relaxations
Felix Petersen, Christian Borgelt, Hilde Kuehne et al.
Learning with Holographic Reduced Representations
Ashwinkumar Ganesan, Hang Gao, Sunil Gandhi et al.
Learning with Labeling Induced Abstentions
Kareem Amin, Giulia DeSalvo, Afshin Rostamizadeh
Learning with Noisy Correspondence for Cross-modal Matching
Zhenyu Huang, Guocheng Niu, Xiao Liu et al.
Learning with User-Level Privacy
Daniel Levy, Ziteng Sun, Kareem Amin et al.
Least Square Calibration for Peer Reviews
Sijun Tan, Jibang Wu, Xiaohui Bei et al.
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation
Weiming Liu, Jiajie Su, Chaochao Chen et al.
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces
Kirill Struminsky, Artyom Gadetsky, Denis Rakitin et al.
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
Xiaolong Li, Yijia Weng, Li Yi et al.
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar et al.
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
Christopher Rytting, David Wingate
Lifelong Domain Adaptation via Consolidated Internal Distribution
Mohammad Rostami
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Vincent Sitzmann, Semon Rezchikov, Bill Freeman et al.
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
Huy Tuan Pham, Phan-Minh Nguyen
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters
Arvind Mahankali, David Woodruff
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
Aritra Mitra, Rayana Jaafar, George J. Pappas et al.
Linear-Time Probabilistic Solution of Boundary Value Problems
Nicholas Krämer, Philipp Hennig
Lip to Speech Synthesis with Visual Context Attentional GAN
Minsu Kim, Joanna Hong, Yong Man Ro
List-Decodable Mean Estimation in Nearly-PCA Time
Ilias Diakonikolas, Daniel Kane, Daniel Kongsgaard et al.
Littlestone Classes are Privately Online Learnable
Noah Golowich, Roi Livni