视听学习论文趋势 2023–2026

音视频联合建模

统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 790 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

视听学习论文数,按年份和会议
年份NeurIPSICLRICMLCVPR合计
202348201278158
202433192088160
202556301094190
2026693932142282

代表论文

按年份和会议均匀挑选,方便快速看到每一届的样貌

全部视听学习论文

共 789 篇,第 12 / 16 页

  1. CVPR 2024Viewpoint-Aware Visual Grounding in 3D Scenes
  2. CVPR 2024VILA: On Pre-training for Visual Language Models
  3. CVPR 2024ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts
  4. CVPR 2024VISTA-LLAMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens
  5. CVPR 2024Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models
  6. CVPR 2024Visual In-Context Prompting
  7. CVPR 2024Visual Objectification in Films: Towards a New AI Task for Video Interpretation
  8. CVPR 2024VRP-SAM: SAM with Visual Reference Prompt
  9. CVPR 2024Weakly-Supervised Audio-Visual Video Parsing with Prototype-based Pseudo-Labeling
  10. ICLR 2024Can Transformers Capture Spatial Relations between Objects?
  11. ICLR 2024CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
  12. ICLR 2024Democratizing Fine-grained Visual Recognition with Large Language Models
  13. ICLR 2024DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
  14. ICLR 2024Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses
  15. ICLR 2024Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
  16. ICLR 2024Frozen Transformers in Language Models Are Effective Visual Encoder Layers
  17. ICLR 2024Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
  18. ICLR 2024Label-Focused Inductive Bias over Latent Object Features in Visual Classification
  19. ICLR 2024Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
  20. ICLR 2024LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
  21. ICLR 2024Masked Audio Generation using a Single Non-Autoregressive Transformer
  22. ICLR 2024On the Role of Discrete Tokenization in Visual Representation Learning
  23. ICLR 2024RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
  24. ICLR 2024SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
  25. ICLR 2024T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
  26. ICLR 2024Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
  27. ICLR 2024Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
  28. ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
  29. ICML 2024AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
  30. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations
  31. ICML 2024EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
  32. ICML 2024From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation
  33. ICML 2024Gradient-based Visual Explanation for Transformer-based CLIP
  34. ICML 2024IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation
  35. ICML 2024Learning to Infer Generative Template Programs for Visual Concepts
  36. ICML 2024Listenable Maps for Audio Classifiers
  37. ICML 2024Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
  38. ICML 2024Rejuvenating image-GPT as Strong Visual Representation Learners
  39. ICML 2024Revisiting the Power of Prompt for Visual Tuning
  40. ICML 2024Sample-specific Masks for Visual Reprogramming-based Prompting
  41. ICML 2024STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
  42. ICML 2024Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
  43. ICML 2024Unifying Image Processing as Visual Prompting Question Answering
  44. ICML 2024Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
  45. ICML 2024video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
  46. ICML 2024VideoPrism: A Foundational Visual Encoder for Video Understanding
  47. ICML 2024Visual Representation Learning with Stochastic Frame Prediction
  48. ICML 2024Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
  49. NeurIPS 2024A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations
  50. NeurIPS 2024An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查视听学习在 CVPR 2023–2026 的论文趋势,哪一年涨得最快?

AI 会调用的工具:get_topic_stats {"topic": "audio-visual-learning"}

两分钟接入 Paperlist MCP(Claude Code、Cursor、Codex、ChatGPT)

常见问题

2023–2026 年四大会议一共有多少篇视听学习论文?
共 790 篇,按年份分别是 2023 年 158 篇、2024 年 160 篇、2025 年 190 篇、2026 年 282 篇。
NeurIPS 2026 有多少篇视听学习论文?
NeurIPS 2026 有 69 篇视听学习论文,上一届是 56 篇。
ICLR 2026 有多少篇视听学习论文?
ICLR 2026 有 39 篇视听学习论文,上一届是 30 篇。
ICML 2026 有多少篇视听学习论文?
ICML 2026 有 32 篇视听学习论文,上一届是 10 篇。
CVPR 2026 有多少篇视听学习论文?
CVPR 2026 有 142 篇视听学习论文,上一届是 94 篇。
哪个会议的视听学习论文最多?
CVPR,2023–2026 年共 402 篇。

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