{"total":27,"rows":[{"id":"2308.06767","title":"A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations","created":"2023-08-13","cited_by_count":202,"area":null},{"id":"2312.11983","title":"Fluctuation-based Adaptive Structured Pruning for Large Language Models","created":"2023-12-19","cited_by_count":111,"area":null},{"id":"2309.12314","title":"TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance","created":"2023-09-21","cited_by_count":90,"area":null},{"id":"2401.08092","title":"A Survey of Resource-efficient LLM and Multimodal Foundation Models","created":"2024-01-16","cited_by_count":86,"area":null},{"id":"2411.05902","title":"Autoregressive Models in Vision: A Survey","created":"2024-11-08","cited_by_count":39,"area":null},{"id":"2405.16700","title":"Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs","created":"2024-05-26","cited_by_count":23,"area":null},{"id":"2407.04616","title":"Isomorphic Pruning for Vision Models","created":"2024-07-05","cited_by_count":21,"area":null},{"id":"2407.20584","title":"Pruning Large Language Models with Semi-Structural Adaptive Sparse Training","created":"2024-07-30","cited_by_count":20,"area":null},{"id":"2403.17921","title":"The Need for Speed: Pruning Transformers with One Recipe","created":"2024-03-26","cited_by_count":16,"area":null},{"id":"2305.17235","title":"COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models","created":"2023-05-26","cited_by_count":14,"area":null},{"id":"2407.11717","title":"Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models","created":"2024-07-16","cited_by_count":13,"area":null},{"id":"2505.01386","title":"CATransformers: Carbon Aware Transformers Through Joint Model-Hardware Optimization","created":"2025-05-02","cited_by_count":7,"area":null},{"id":"2406.10576","title":"Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradient","created":"2024-06-15","cited_by_count":6,"area":null},{"id":"2412.02054","title":"Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable","created":"2024-12-03","cited_by_count":4,"area":null},{"id":"2308.14969","title":"Uncovering the Hidden Cost of Model Compression","created":"2023-08-29","cited_by_count":3,"area":null},{"id":"2406.19391","title":"Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads","created":"2024-06-27","cited_by_count":3,"area":null},{"id":"2501.03289","title":"Adaptive Pruning of Pretrained Transformer via Differential Inclusions","created":"2025-01-06","cited_by_count":2,"area":null},{"id":"2312.01987","title":"Bootstrapping SparseFormers from Vision Foundation Models","created":"2023-12-04","cited_by_count":1,"area":null},{"id":"2408.09511","title":"NAVERO: Unlocking Fine-Grained Semantics for Video-Language Compositionality","created":"2024-08-18","cited_by_count":1,"area":null},{"id":"2509.25996","title":"CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models","created":"2025-09-30","cited_by_count":1,"area":null},{"id":"2409.17728","title":"AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking","created":"2024-09-26","cited_by_count":0,"area":null},{"id":"2506.12015","title":"EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2507.21723","title":"Detection Transformers Under the Knife: A Neuroscience-Inspired Approach to Ablations","created":"2025-07-29","cited_by_count":0,"area":null},{"id":"2602.05909","title":"CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression","created":"2026-02-05","cited_by_count":0,"area":null},{"id":"2603.27383","title":"Decompose, Mix, Adapt: A Unified Framework for Parameter-Efficient Neural Network Recombination and Compression","created":"2026-03-28","cited_by_count":0,"area":null},{"id":"2610.14089","title":"SAGE: Efficient Protected Vision-Language Inference on Smart Glasses","created":"2026-10-08","cited_by_count":0,"area":null},{"id":"2610.16813","title":"Carve VFM: Carving Specialists out of Generalists, Automatic Task-Specific Compression of Vision Foundation Models","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}