- $O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
- $_Lambda$-DARTS_ Mitigating Performance Collapse by Harmonizing Operation Selection among Cells
- $_mathcal{O}$-GNN_ incorporating ring priors into molecular modeling
- $_mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space
- $_mathscr{N}$-WL_ A New Hierarchy of Expressivity for Graph Neural Networks
- $_rm A^2Q$_ Aggregation-Aware Quantization for Graph Neural Networks
- $k$NN Prompting_ Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference
- (Certified!!) Adversarial Robustness for Free!
- 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
- 3D Segmenter_ 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation
- 3D UX-Net_ A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
- 3D generation on ImageNet
- A CMDP-within-online framework for Meta-Safe Reinforcement Learning
- A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
- A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
- A Control-Centric Benchmark for Video Prediction
- A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
- A Differential Geometric View and Explainability of GNN on Evolving Graphs
- A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming
- A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
- A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
- A General Rank Preserving Framework for Asymmetric Image Retrieval
- A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps
- A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
- A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
- A Kernel Perspective of Skip Connections in Convolutional Networks
- A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation
- A Learning Based Hypothesis Test for Harmful Covariate Shift
- A Message Passing Perspective on Learning Dynamics of Contrastive Learning
- A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
- A Mixture-of-Expert Approach to RL-based Dialogue Management
- A Model or 603 Exemplars_ Towards Memory-Efficient Class-Incremental Learning
- A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single_Multi-Labeled Text Classification
- A Neural Mean Embedding Approach for Back-door and Front-door Adjustment
- A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks
- A Non-monotonic Self-terminating Language Model
- A Primal-Dual Framework for Transformers and Neural Networks
- A Self-Attention Ansatz for Ab-initio Quantum Chemistry
- A Simple Approach for Visual Room Rearrangement_ 3D Mapping and Semantic Search
- A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles
- A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks
- A Statistical Framework for Personalized Federated Learning and Estimation_ Theory, Algorithms, and Privacy
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
- A Theoretical Framework for Inference and Learning in Predictive Coding Networks
- A Theoretical Understanding of Shallow Vision Transformers_ Learning, Generalization, and Sample Complexity
- A Theory of Dynamic Benchmarks
- A Time Series is Worth 64 Words_ Long-term Forecasting with Transformers
- A Unified Algebraic Perspective on Lipschitz Neural Networks
- A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
- A Unified Framework for Soft Threshold Pruning