parameter efficiency

Time- Memory- and Parameter-Efficient Visual Adaptation CVPR 2024 TroL: Traversal of Layers for Large Language and Vision Models EMNLP 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NeurIPS 2024 VeRA: Vector-based Random Matrix Adaptation ICLR 2024 Volterra Neural Networks (VNNs) JMLR 2024 WaveMixSR: Resource-Efficient Neural Network for Image Super-Resolution WACV 2024 xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics EMNLP 2024 Zoology: Measuring and Improving Recall in Efficient Language Models ICLR 2024 A Neural State-Space Modeling Approach to Efficient Speech Separation Interspeech 2023 A Novel Learnable Interpolation Approach for Scale-Arbitrary Image Super-Resolution IJCAI 2023 Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning ACL 2023 Bilateral Memory Consolidation for Continual Learning CVPR 2023 Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search Interspeech 2023 CLR: Channel-wise Lightweight Reprogramming for Continual Learning ICCV 2023 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023 Computation and Memory Efficient Noise Adaptation of Wav2Vec2.0 for Noisy Speech Emotion Recognition with Skip Connection Adapters Interspeech 2023 Continual Learning With Dependency Preserving Hypernetworks WACV 2023 CUF: Continuous Upsampling Filters CVPR 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting ACL 2023 DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning EMNLP 2023 Dynamics-inspired Neuromorphic Visual Representation Learning ICML 2023 EELBERT: Tiny Models through Dynamic Embeddings EMNLP 2023 EffConv: Efficient Learning of Kernel Sizes for Convolution Layers of CNNs AAAI 2023