conftrace_

large model

11 papers

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Co-occurring keywords · papers mentioning both

multimodal learning (2) compression bound (1) few-shot (1) heuristics (1) distillation (1) layer-wise (1) low-rank formulation (1) multi-faceted efficiency (1) adapter matrices (1) multi-modal (1)

Papers

Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark ICCV 2025 Pfeife: Automatic Pipeline Parallelism for PyTorch ICML 2025 Scalable Model Merging with Progressive Layer-wise Distillation ICML 2025 WeGeFT: Weight-Generative Fine-Tuning for Multi-Faceted Efficient Adaptation of Large Models ICML 2025 InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD NeurIPS 2024 LoRA+: Efficient Low Rank Adaptation of Large Models ICML 2024 Non-Vacuous Generalization Bounds for Large Language Models ICML 2024 Position: The Platonic Representation Hypothesis ICML 2024 Prospector Heads: Generalized Feature Attribution for Large Models & Data ICML 2024 Revisit the Essence of Distilling Knowledge through Calibration ICML 2024 The Data Addition Dilemma MLHC 2024