conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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Papers (including subtopics)

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NeurIPS 2024 Referencing Where to Focus: Improving Visual Grounding with Referential Query NeurIPS 2024 Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation AAAI 2024 Referring Image Editing: Object-level Image Editing via Referring Expressions CVPR 2024 Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction ACL 2024 REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset ACL 2024 Refining and Synthesis: A Simple yet Effective Data Augmentation Framework for Cross-Domain Aspect-based Sentiment Analysis ACL 2024 Refining App Reviews: Dataset, Methodology, and Evaluation EMNLP 2024 Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction ACL 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks AAAI 2024 Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection COLING 2024 Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model ACML 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation NeurIPS 2024 ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration NeurIPS 2024 Reflected Flow Matching ICML 2024 Reflected Schrödinger Bridge for Constrained Generative Modeling UAI 2024 Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain ACL 2024 ReFT: Representation Finetuning for Language Models NeurIPS 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Regeneration Learning: A Learning Paradigm for Data Generation AAAI 2024 ReGenNet: Towards Human Action-Reaction Synthesis CVPR 2024 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks NeurIPS 2024 Region-aware Grasp Framework with Normalized Grasp Space for Efficient 6-DoF Grasping CoRL 2024 Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation AAAI 2024 RegionGPT: Towards Region Understanding Vision Language Model CVPR 2024