conftrace_

model acceleration

80 papers

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Co-occurring keywords

model compression (3302) inference acceleration (244) efficient computing (781) speculative decoding (111) neural network optimization (1293) large language model (13587) inference optimization (219) knowledge distillation (3725) convolutional neural network (4226) diffusion model (3751)

Papers

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models AAAI 2026
Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios AAAI 2026
Steering Pretrained Drafters During Speculative Decoding AAAI 2026
AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification AAAI 2026
Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs AAAI 2026
PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination AAAI 2026
DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation AAAI 2026
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration AAAI 2026
Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMs ACL 2026
Mamba Drafters for Speculative Decoding EMNLP 2025
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration ICCV 2025
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study EMNLP 2025
TCFG: Truncated Classifier-Free Guidance for Efficient and Scalable Text-to-Image Acceleration ICCV 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning ICCV 2025
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition CVPR 2025
SPECTRA: Faster Large Language Model Inference with Optimized Internal and External Speculation ACL 2025
Accelerating Diffusion Transformer via Gradient-Optimized Cache ICCV 2025
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs ICCV 2025
From Reusing to Forecasting: Accelerating Diffusion Models with TaylorSeers ICCV 2025
Accelerating Dense LLMs via L0-regularized Mixture-of-Experts ACL 2025
PLD+: Accelerating LLM Inference by Leveraging Language Model Artifacts NAACL 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025
EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models ACL 2025
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs CVPR 2025
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures AAAI 2025