Model Architecture

Reusing Transferable Weight Increments for Low-resource Style Generation EMNLP 2024 Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning NeurIPS 2024 Revisiting Neural Networks for Continual Learning: An Architectural Perspective IJCAI 2024 Revisiting Token Pruning for Object Detection and Instance Segmentation WACV 2024 Rewiring the Transformer with Depth-Wise LSTMs COLING 2024 Rewrite the Stars CVPR 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning WACV 2024 Robustifying and Boosting Training-Free Neural Architecture Search ICLR 2024 Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM CVPR 2024 RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts EMNLP 2024 RoPINN: Region Optimized Physics-Informed Neural Networks NeurIPS 2024 RPCANet: Deep Unfolding RPCA Based Infrared Small Target Detection WACV 2024 Safe and Robust Watermark Injection with a Single OoD Image ICLR 2024 Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models NeurIPS 2024 SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models NeurIPS 2024 SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024 SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR Interspeech 2024 SAMPa: Sharpness-aware Minimization Parallelized NeurIPS 2024 SaSDim:Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation IJCAI 2024 SAS: Structured Activation Sparsification ICLR 2024 SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network AAAI 2024 Scalable Diffusion for Materials Generation ICLR 2024 Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention EMNLP 2024 Scalable Neural Network Kernels ICLR 2024