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
- 视听学习论文从 2023 年的 158 篇增长到 2026 年的 282 篇,三年间扩大到约 1.8 倍。
- CVPR 是发视听学习论文最多的会议,2023–2026 年共 402 篇,占四个会议总量的 51%。
- 交叉方向里涨得最快的是扩散模型:同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 19 篇。
- 在「语音与音频」的 5 个主题里,它的 2026 年论文数排第 1;同组增长最快的音频生成是 4.3 倍,视听学习是 1.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 48 | 20 | 12 | 78 | 158 |
| 2024 | 33 | 19 | 20 | 88 | 160 |
| 2025 | 56 | 30 | 10 | 94 | 190 |
| 2026 | 69 | 39 | 32 | 142 | 282 |
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
- NeurIPS 2026A Training-Free Video Moment Retrieval Framework via Selection from Multiple Visual Prompts
- ICML 2026AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs
- ICLR 2026AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
- CVPR 2026AVFakeBench A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
- NeurIPS 2025$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
- ICML 2025Token Coordinated Prompt Attention is Needed for Visual Prompting
- ICLR 2025AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
- CVPR 2025A Distractor-Aware Memory for Visual Object Tracking with SAM2
- NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
- ICML 2024EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
- ICLR 2024Can Transformers Capture Spatial Relations between Objects?
- CVPR 2024DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields
- NeurIPS 2023Are Vision Transformers More Data Hungry Than Newborn Visual Systems?
- ICML 2023A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
- ICLR 2023A Control-Centric Benchmark for Video Prediction
- CVPR 2023An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling
- NeurIPS 2026AdaCodec: A Predictive Visual Code for Video MLLMs
- ICML 2026EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs
- ICLR 2026Depth Anything 3: Recovering the Visual Space from Any Views
- CVPR 2026Co-Me Confidence Guided Token Merging for Visual Geometric Transformers
全部视听学习论文
共 56 篇,第 1 / 2 页
- NeurIPS 2025$\texttt{AVROBUSTBENCH}$: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
- NeurIPS 2025Anatomically inspired digital twins capture hierarchical object representations in visual cortex
- NeurIPS 2025Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization
- NeurIPS 2025AVCD: Mitigating Hallucinations in Audio-Visual Large Language Models through Contrastive Decoding
- NeurIPS 2025Counterfactual Evolution of Multimodal Datasets via Visual Programming
- NeurIPS 2025DAVE: Diagnostic benchmark for Audio Visual Evaluation
- NeurIPS 2025Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
- NeurIPS 2025Differentiable Hierarchical Visual Tokenization
- NeurIPS 2025Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
- NeurIPS 2025EgoBlind: Towards Egocentric Visual Assistance for the Blind
- NeurIPS 2025Elevating Visual Perception in Multimodal LLMs with Visual Embedding Distillation
- NeurIPS 2025FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering
- NeurIPS 2025FreqExit: Enabling Early-Exit Inference for Visual Autoregressive Models via Frequency-Aware Guidance
- NeurIPS 2025High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model
- NeurIPS 2025INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning
- NeurIPS 2025Learning Human-Object Interaction as Groups
- NeurIPS 2025Learning to cluster neuronal function
- NeurIPS 2025Learning to Instruct for Visual Instruction Tuning
- NeurIPS 2025Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
- NeurIPS 2025LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
- NeurIPS 2025LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
- NeurIPS 2025MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks
- NeurIPS 2025MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
- NeurIPS 2025Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
- NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
- NeurIPS 2025On the rankability of visual embeddings
- NeurIPS 2025Perception Encoder: The best visual embeddings are not at the output of the network
- NeurIPS 2025Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
- NeurIPS 2025PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
- NeurIPS 2025Quantum Visual Fields with Neural Amplitude Encoding
- NeurIPS 2025Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
- NeurIPS 2025SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
- NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
- NeurIPS 2025Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
- NeurIPS 2025Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
- NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
- NeurIPS 2025Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
- NeurIPS 2025STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
- NeurIPS 2025The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
- NeurIPS 2025Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
- NeurIPS 2025Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
- NeurIPS 2025Towards A Translative Model of Sperm Whale Vocalization
- NeurIPS 2025Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
- NeurIPS 2025Transformer brain encoders explain human high-level visual responses
- NeurIPS 2025TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation
- NeurIPS 2025UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
- NeurIPS 2025un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
- NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
- NeurIPS 2025Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
- NeurIPS 2025Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
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"}
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。