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Model Compression

1,736 papers

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Papers

Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection EMNLP 2023 Break It Down: Evidence for Structural Compositionality in Neural Networks NeurIPS 2023 Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models ACL 2023 BT^2: Backward-compatible Training with Basis Transformation ICCV 2023 Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models EMNLP 2023 Can We Find Strong Lottery Tickets in Generative Models? AAAI 2023 Class Attention Transfer Based Knowledge Distillation CVPR 2023 COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects ICML 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Compressing Explicit Voxel Grid Representations: Fast NeRFs Become Also Small WACV 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 Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023 Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning ACL 2023 Cost-effective Distillation of Large Language Models ACL 2023 Co-training and Co-distillation for Quality Improvement and Compression of Language Models EMNLP 2023 CP3: Channel Pruning Plug-In for Point-Based Networks CVPR 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 Dataset Distillation with Convexified Implicit Gradients ICML 2023 Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression ICCV 2023 Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023