conftrace_

codebook learning

35 papers

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Co-occurring keywords

vector quantization (257) product quantization (47) variational autoencoder (1288) autoregressive model (456) approximate nearest neighbor (88) image reconstruction (671) image restoration (1517) image classification (1944) model compression (3302) approximate nearest neighbor search (35)

Papers

Codebook Knowledge with Mamba-Transformer For Low-Light Image Enhancement WACV 2026
GloTok: Global Perspective Tokenizer for Image Reconstruction and Generation AAAI 2026
CauVQ: Causal Vector Quantization for Graph OOD Generalization AAAI 2026
GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion ACL 2026
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization WACV 2026
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning ACL 2025
PointGAC: Geometric-Aware Codebook for Masked Point Modeling ICCV 2025
Moment Quantization for Video Temporal Grounding ICCV 2025
Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing CVPR 2025
Style Quantization for Data-Efficient GAN Training CVPR 2025
Towards Improved Text-Aligned Codebook Learning: Multi-Hierarchical Codebook-Text Alignment with Long Text CVPR 2025
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning EMNLP 2024
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99% NIPS 2024
LLMs are Good Sign Language Translators CVPR 2024
LG-VQ: Language-Guided Codebook Learning NIPS 2024
Accented Speech Recognition With Accent-specific Codebooks EMNLP 2023
Towards Accurate Image Coding: Improved Autoregressive Image Generation With Dynamic Vector Quantization CVPR 2023
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks ICML 2023
Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration ICCV 2023
Robust Learning for Multi-party Addressee Recognition with Discrete Addressee Codebook ACL 2023
Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation CVPR 2023
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations ICML 2018
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks CVPR 2018
Product Split Trees CVPR 2017