Co-occurring keywords · papers mentioning both
Papers
Stateful Memory-Augmented Transformers for Efficient Dialogue Modeling
EACL 2024
Style-Compress: An LLM-Based Prompt Compression Framework Considering Task-Specific Styles
EMNLP 2024
Surprisingly Strong Performance Prediction with Neural Graph Features
ICML 2024
SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection
AAAI 2024
Tackling Long Code Search with Splitting, Encoding, and Aggregating
COLING 2024
Task-Aware Encoder Control for Deep Video Compression
CVPR 2024
The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers (Student Abstract)
AAAI 2024
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging
EMNLP 2024
Token Fusion: Bridging the Gap Between Token Pruning and Token Merging
WACV 2024
Towards training digitally-tied analog blocks via hybrid gradient computation
NeurIPS 2024
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy
NeurIPS 2024
Transformer-Based Selective Super-resolution for Efficient Image Refinement
AAAI 2024
Transformer-VQ: Linear-Time Transformers via Vector Quantization
ICLR 2024
TroL: Traversal of Layers for Large Language and Vision Models
EMNLP 2024
United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus
AAAI 2024
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation
NeurIPS 2024
vid-TLDR: Training Free Token Merging for Light-weight Video Transformer
CVPR 2024
VMamba: Visual State Space Model
NeurIPS 2024
Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection
AAAI 2024
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
EMNLP 2024
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning
ICLR 2024
What Are You Token About? Differentiable Perturbed Top-k Token Selection for Scientific Document Summarization
ACL 2024
Win-Win: Training High-Resolution Vision Transformers from Two Windows
ICLR 2024
You Only Need Less Attention at Each Stage in Vision Transformers
CVPR 2024
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers
CVPR 2024