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 69 篇,第 1 / 2 页
- NeurIPS 2026A Quantitative Visual Taxonomy of Worldwide Writing Systems
- NeurIPS 2026A Training-Free Video Moment Retrieval Framework via Selection from Multiple Visual Prompts
- NeurIPS 2026AdaCodec: A Predictive Visual Code for Video MLLMs
- NeurIPS 2026Asymmetric Hierarchical Anchoring for Robust Audio–Visual Cross-Modal Generalization
- NeurIPS 2026AVOC: Enhancing Hour-Level Audio-Video Understanding in Omni-Modal LLMs via Retrieval-Inspired Token Compression
- NeurIPS 2026Benchmarking Multimodal Mathematical Reasoning with Explicit Visual Dependency
- NeurIPS 2026Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
- NeurIPS 2026Binding Visual Features Point by Point
- NeurIPS 2026CCDiff: Inverse Canonical Correlation Analysis for Discovering Visual Differences in Natural Language
- NeurIPS 2026Do Diffusion Models Learn to Generalize Basic Visual Skills?
- NeurIPS 2026Do Joint Audio-Video Generation Models Understand Physics?
- NeurIPS 2026Do Pathology Foundation Models Encode Disease Progression? A Pseudotime Analysis of Visual Representations
- NeurIPS 2026Foveal-Mamba: Inside-Out Ring Scanning with Recurrent Offset Prediction for Visual State Space Models
- NeurIPS 2026From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation
- NeurIPS 2026GATE-AD: Graph Attention Network Encoding for Few-Shot Industrial Visual Anomaly Detection
- NeurIPS 2026Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
- NeurIPS 2026HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
- NeurIPS 2026Hide to See: Reasoning-prefix Masking for Visual-anchored Thinking in VLM Distillation
- NeurIPS 2026IDEA: Unwrapping Visual Black-box Models by Interaction Decomposition
- NeurIPS 2026Internalize External Competence for Visual Instruction Editing
- NeurIPS 2026Language-Conditioned World Modeling for Visual Navigation
- NeurIPS 2026LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning
- NeurIPS 2026Learning a Maximum Entropy Model for Visual Textures using Diffusion
- NeurIPS 2026Learning a Task-Adaptive Low-Dimensional Semantic Space for Improved Visual Classification
- NeurIPS 2026Learning Task-Centric World Models from Visual Foundations
- NeurIPS 2026Learning to See Through Language: An Exploration of Language Modeling's Effect on Visual Representations
- NeurIPS 2026Learning Visual Feature-Based World Models via Residual Latent Action
- NeurIPS 2026Learning Visual Speech Representations via Cross-Modal Distillation and Joint Face-Lip Modeling
- NeurIPS 2026Learning When Visual Context Matters for Mouse Behavior Analysis
- NeurIPS 2026LiteNav: Lightweight Map-free Outdoor Visual Navigation
- NeurIPS 2026Localizing Concepts in Visual Autoregressive Models
- NeurIPS 2026MAEB: Massive Audio Embedding Benchmark
- NeurIPS 2026Masked Visual Actions for Unified World Modeling
- NeurIPS 2026Native Audio-Visual Alignment for Generation
- NeurIPS 2026Not Another Text Benchmark: Putting the “Visual" Back in Visual Question Answering for Large Video Models
- NeurIPS 2026OmniSE: Support-Faithful Optimization for Evidence-Centric Audio-Video Reasoning
- NeurIPS 2026Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
- NeurIPS 2026PanoWorld: Geometry-Consistent Panoramic Video World Modeling
- NeurIPS 2026Perceive, Interact, Reason: Building Tool-Augmented Visual Agents for Spatial Reasoning
- NeurIPS 2026PixFoundation 2.0: Do Video Multi-Modal LLMs Use Motion in Visual Grounding?
- NeurIPS 2026Prototypes of the Mind: A Unified Framework for Probing the Visual Brain
- NeurIPS 2026RAIL: Rethinking Auditory Intelligence in Large Audio-Language Models with a CHC-Grounded Benchmark
- NeurIPS 2026RAO-Nav: Probing Omni-Language Models for Zero-shot Semantic Audio-Visual Navigation
- NeurIPS 2026Referring and Reasoning Camouflaged Object Segmentation in Audio-Visual Scenes
- NeurIPS 2026RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
- NeurIPS 2026Shaping Useful Noise: Energy Distributions Predict Visual Pretraining Quality
- NeurIPS 2026Shift-Aware Identity-Guided Latent Refinement for Referring Audio–Visual Segmentation
- NeurIPS 2026Sparse Planning in Visual World Models via Cost Gradients
- NeurIPS 2026Structure Over Scale: Learning Visual Reasoning from Pedagogical Video
- NeurIPS 2026Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis
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。