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Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyML
score 4
机构: MIT;关键词(3): compression, quantization, latency
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MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models
score 4
关键词(3): GRPO, MoE, vision-language;顶会接收: CVPR
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MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning
score 4
关键词(3): scaling, distillation, reasoning;顶会接收: CVPR
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Photon: Speedup Volume Understanding with Efficient Multimodal Large Language Models
score 4
关键词(2): scaling, compression;顶会接收: ICLR
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Offline Decision Transformers for Neural Combinatorial Optimization: Surpassing Heuristics on the Traveling Salesman Problem
score 4
关键词(1): deployment;顶会接收: NeurIPS
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EagleNet: Energy-Aware Fine-Grained Relationship Learning Network for Text-Video Retrieval
score 4
关键词(1): vision-language;顶会接收: CVPR
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SliderQuant: Accurate Post-Training Quantization for LLMs
score 4
关键词(4): quantization, post-training, MoE, reasoning;顶会接收: ICLR
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Separate Before You Compress: The WWHO Tokenization Architecture
score 4
机构: OpenAI;关键词(2): compression, reasoning
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Adaptive Learned Image Compression with Graph Neural Networks
score 4
关键词(1): compression;顶会接收: CVPR
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Multimodal Dataset Distillation via Phased Teacher Models
score 4
关键词(2): compression, distillation;顶会接收: ICLR
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Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training
score 4
关键词(1): data curation;顶会接收: CVPR