Model Architecture

SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework EMNLP 2024 SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NeurIPS 2024 S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training NeurIPS 2024 ST$_k$: A Scalable Module for Solving Top-k Problems NeurIPS 2024 Stacking Deep Set Networks and Pooling by Quantiles ICML 2024 START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NeurIPS 2024 Start Simple: Progressive Difficulty Multitask Learning NAACL 2024 Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining CVPR 2024 StepbaQ: Stepping backward as Correction for Quantized Diffusion Models NeurIPS 2024 Streamlining Speech Enhancement DNNs: an Automated Pruning Method Based on Dependency Graph with Advanced Regularized Loss Strategies Interspeech 2024 Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks L4DC 2024 Strengthening Layer Interaction via Dynamic Layer Attention IJCAI 2024 Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training CVPR 2024 Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning NeurIPS 2024 Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products ICML 2024 SUMix: Mixup with Semantic and Uncertain Information ECCV 2024 SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition NeurIPS 2024 SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors NeurIPS 2024 SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning ICLR 2024 Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics ICLR 2024 Symmetries in Overparametrized Neural Networks: A Mean Field View NeurIPS 2024 Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image Enhancement AAAI 2024 T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models AAAI 2024 TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models ICLR 2024 Task-Driven Wavelets using Constrained Empirical Risk Minimization CVPR 2024