Model Architecture

Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction AAAI 2023 PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NeurIPS 2023 PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation ACL 2023 Pixel-Wise Contrastive Distillation ICCV 2023 Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023 PointConvFormer: Revenge of the Point-Based Convolution CVPR 2023 Polyhedron Attention Module: Learning Adaptive-order Interactions NeurIPS 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 PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models ACL 2023 Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation NeurIPS 2023 Principled Weight Initialisation for Input-Convex Neural Networks NeurIPS 2023 Probability-Based Global Cross-Modal Upsampling for Pansharpening CVPR 2023 Prompt Tuning for Unified Multimodal Pretrained Models ACL 2023 Pruning Deep Neural Networks from a Sparsity Perspective ICLR 2023 Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint ICML 2023 Quantifying Context Mixing in Transformers EACL 2023 Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks AAAI 2023 Quantized Feature Distillation for Network Quantization AAAI 2023 RADIANT: Better rPPG Estimation Using Signal Embeddings and Transformer WACV 2023 RANCER: Non-Axis Aligned Anisotropic Certification With Randomized Smoothing WACV 2023 Randomized Adversarial Training via Taylor Expansion CVPR 2023 RankMixup: Ranking-Based Mixup Training for Network Calibration ICCV 2023 Real time spectrogram inversion on mobile phone Interspeech 2023