Techniques

PiFold: Toward effective and efficient protein inverse folding ICLR 2023 PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation ACL 2023 Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention EMNLP 2023 Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning ACL 2023 PIVOT: Prompting for Video Continual Learning CVPR 2023 Pixel-Wise Contrastive Distillation ICCV 2023 Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023 Plug-and-Play Document Modules for Pre-trained Models ACL 2023 PMatch: Paired Masked Image Modeling for Dense Geometric Matching CVPR 2023 POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo CVPR 2023 PointConvFormer: Revenge of the Point-Based Convolution CVPR 2023 Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling ICLR 2023 Polyhedron Attention Module: Learning Adaptive-order Interactions NeurIPS 2023 Ponder: Point Cloud Pre-training via Neural Rendering ICCV 2023 Positional Label for Self-Supervised Vision Transformer AAAI 2023 Position-Guided Text Prompt for Vision-Language Pre-Training CVPR 2023 Position Matters! Empirical Study of Order Effect in Knowledge-grounded Dialogue ACL 2023 PowerQuant: Automorphism Search for Non-Uniform Quantization ICLR 2023 PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification IJCAI 2023 Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference AAAI 2023 Prefix Conditioning Unifies Language and Label Supervision CVPR 2023 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers NeurIPS 2023 Pre-trained Language Model with Prompts for Temporal Knowledge Graph Completion ACL 2023 Pretraining Language Models with Text-Attributed Heterogeneous Graphs EMNLP 2023