Papers
Better SGD using Second-order Momentum
Hoang Tran, Ashok Cutkosky
Better Uncertainty Calibration via Proper Scores for Classification and Beyond
Sebastian Gruber, Florian Buettner
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness
Sarah Sachs, Hedi Hadiji, Tim van Erven et al.
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
Tingting Liang, Hongwei Xie, Kaicheng Yu et al.
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
Yuhan Helena Liu, Arna Ghosh, Blake Richards et al.
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection
Wael Alghamdi, Hsiang Hsu, Haewon Jeong et al.
Beyond black box densities: Parameter learning for the deviated components
Dat Do, Nhat Ho, Xuanlong Nguyen
Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes, Will Ma, Omar Mouchtaki
Beyond L1: Faster and Better Sparse Models with skglm
Quentin Bertrand, Quentin Klopfenstein, Pierre-Antoine Bannier et al.
Beyond Mahalanobis Distance for Textual OOD Detection
Pierre Colombo, Eduardo Dadalto, Guillaume Staerman et al.
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher, Robert Geirhos, Shashank Shekhar et al.
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
Sen Lin, Li Yang, Deliang Fan et al.
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa, Koki Noda, Yuya Sasaki et al.
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
Shayegan Omidshafiei, Andrei Kapishnikov, Yannick Assogba et al.
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Jeff Z. HaoChen, Colin Wei, Ananya Kumar et al.
Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits
Yifei Wang, Tavor Baharav, Yanjun Han et al.
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras, Ryann Sim, Stratis Skoulakis
Bezier Gaussian Processes for Tall and Wide Data
Martin Jørgensen, Michael A Osborne
Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen, Yingxueff Zhang, Jie Fu et al.
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification
Linhao Qu, xiaoyuan luo, Manning Wang et al.
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
Jason Fries, Leon Weber, Natasha Seelam et al.
BILCO: An Efficient Algorithm for Joint Alignment of Time Series
Xuelong Mi, Mengfan Wang, Alex Chen et al.
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
Yixing Xu, Xinghao Chen, Yunhe Wang