Papers
8,340 papers found
Blossom: an Anytime Algorithm for Computing Optimal Decision Trees
Emir Demirović, Emmanuel Hebrard, Louis Jean
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
Steven Adams, Andrea Patane, Morteza Lahijanian et al.
Boosting Graph Contrastive Learning via Graph Contrastive Saliency
Chunyu Wei, Yu Wang, Bing Bai et al.
Boosting Offline Reinforcement Learning with Action Preference Query
Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin et al.
Bootstrap in High Dimension with Low Computation
Henry Lam, Zhenyuan Liu
Bootstrapped Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Mark Rowland et al.
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models
Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu et al.
Brainformers: Trading Simplicity for Efficiency
Yanqi Zhou, Nan Du, Yanping Huang et al.
Brauer’s Group Equivariant Neural Networks
Edward Pearce-Crump
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
Xuan Son Nguyen, Shuo Yang
Buying Information for Stochastic Optimization
Mingchen Ma, Christos Tzamos
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
Yuchen Liu, Chen Chen, Lingjuan Lyu et al.
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
Jun Zhang, Shuyang Jiang, Jiangtao Feng et al.
Calibrating Multimodal Learning
Huan Ma, Qingyang Zhang, Changqing Zhang et al.
Can Forward Gradient Match Backpropagation?
Louis Fournier, Stephane Rivaud, Eugene Belilovsky et al.
Can Large Language Models Reason about Program Invariants?
Kexin Pei, David Bieber, Kensen Shi et al.
Can Neural Network Memorization Be Localized?
Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi et al.
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
Boris Knyazev, Doha Hwang, Simon Lacoste-Julien
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data
Yuhua Zhang, Walter H. Dempsey
Causal Bounds in Quasi-Markovian Graphs
Madhumitha Shridharan, Garud Iyengar
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants
Ruichu Cai, Zhiyi Huang, Wei Chen et al.
Causal Isotonic Calibration for Heterogeneous Treatment Effects
Lars Van Der Laan, Ernesto Ulloa-Perez, Marco Carone et al.
Causal Modeling of Policy Interventions From Treatment-Outcome Sequences
Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti et al.
Causal Proxy Models for Concept-based Model Explanations
Zhengxuan Wu, Karel D’Oosterlinck, Atticus Geiger et al.
Causal Strategic Classification: A Tale of Two Shifts
Guy Horowitz, Nir Rosenfeld