Model Compression

byteLLM@LT-EDI-2024: Homophobia/Transphobia Detection in Social Media Comments - Custom Subword Tokenization with Subword2Vec and BiLSTM EACL 2024 Cache & Distil: Optimising API Calls to Large Language Models ACL 2024 CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection CVPR 2024 Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models NeurIPS 2024 CIFD: Controlled Information Flow to Enhance Knowledge Distillation NeurIPS 2024 CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation CVPR 2024 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers NeurIPS 2024 CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code EMNLP 2024 CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation CVPR 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 Compressed Context Memory for Online Language Model Interaction ICLR 2024 Compressing Image-to-Image Translation GANs Using Local Density Structures on Their Learned Manifold AAAI 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024 Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation RSS 2024 ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference AAAI 2024 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NeurIPS 2024 CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers ACL 2024 Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference ACL 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models ACL 2024 D^4: Dataset Distillation via Disentangled Diffusion Model CVPR 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024