Model Architecture

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs NeurIPS 2024 PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024 PointAttN: You Only Need Attention for Point Cloud Completion AAAI 2024 Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes IJCAI 2024 Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification AAAI 2024 Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks JMLR 2024 Polyhedral Complex Derivation from Piecewise Trilinear Networks NeurIPS 2024 Polynormer: Polynomial-Expressive Graph Transformer in Linear Time ICLR 2024 Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI ICML 2024 PowerGraph: A power grid benchmark dataset for graph neural networks NeurIPS 2024 PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond NeurIPS 2024 Preparing Lessons for Progressive Training on Language Models AAAI 2024 PRIME: Prioritizing Interpretability in Failure Mode Extraction ICLR 2024 Progressive Poisoned Data Isolation for Training-Time Backdoor Defense AAAI 2024 Prompt-Driven Dynamic Object-Centric Learning for Single Domain Generalization CVPR 2024 Prompt-guided Precise Audio Editing with Diffusion Models ICML 2024 ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition IJCAI 2024 Provable Benefit of Cutout and CutMix for Feature Learning NeurIPS 2024 Provably Robust Conformal Prediction with Improved Efficiency ICLR 2024 Pruning is Optimal for Learning Sparse Features in High-Dimensions COLT 2024 Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024 Pruning neural network models for gene regulatory dynamics using data and domain knowledge NeurIPS 2024 P-tensors: a General Framework for Higher Order Message Passing in Subgraph Neural Networks AISTATS 2024 PTMQ: Post-training Multi-Bit Quantization of Neural Networks AAAI 2024 PTQ4SAM: Post-Training Quantization for Segment Anything CVPR 2024