Audio-Visual Learning papers, 2023–2026

Key findings

• Audio-Visual Learning went from 158 papers in 2023 to 282 in 2026, roughly 1.8x in three years.
• CVPR publishes the most Audio-Visual Learning work: 402 papers from 2023 to 2026, 51% of the four-venue total.
• The fastest-growing overlap is with Diffusion Models: papers tagged with both rose from 2 in 2023 to 19 in 2026.
• Among the 5 topics under Audio and Speech, it ranks #1 by 2026 paper count; the fastest grower in the group, Audio Generation, is up 4.3x versus 1.8x here.

Representative papers

Spread across years and venues so every edition shows up

• 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

All Audio-Visual Learning papers

190 papers, page 4 of 4

151. NeurIPS 2025Learning to cluster neuronal function
152. NeurIPS 2025Learning to Instruct for Visual Instruction Tuning
153. NeurIPS 2025Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
154. NeurIPS 2025LoRATv2: Enabling Low-Cost Temporal Modeling in One-Stream Trackers
155. NeurIPS 2025LORE: Lagrangian-Optimized Robust Embeddings for Visual Encoders
156. NeurIPS 2025MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks
157. NeurIPS 2025MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
158. NeurIPS 2025Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
159. NeurIPS 2025MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
160. NeurIPS 2025On the rankability of visual embeddings
161. NeurIPS 2025Perception Encoder: The best visual embeddings are not at the output of the network
162. NeurIPS 2025Physics-Driven Spatiotemporal Modeling for AI-Generated Video Detection
163. NeurIPS 2025PreFM: Online Audio-Visual Event Parsing via Predictive Future Modeling
164. NeurIPS 2025Quantum Visual Fields with Neural Amplitude Encoding
165. NeurIPS 2025Rethinking Joint Maximum Mean Discrepancy for Visual Domain Adaptation
166. NeurIPS 2025SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
167. NeurIPS 2025SCOPE: Saliency-Coverage Oriented Token Pruning for Efficient Multimodel LLMs
168. NeurIPS 2025Seg-VAR:Image Segmentation with Visual Autoregressive Modeling
169. NeurIPS 2025Self-supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction
170. NeurIPS 2025Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
171. NeurIPS 2025Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence
172. NeurIPS 2025STSBench: A Large-Scale Dataset for Modeling Neuronal Activity in the Dorsal Stream of Primate Visual Cortex
173. NeurIPS 2025The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
174. NeurIPS 2025Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
175. NeurIPS 2025Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task
176. NeurIPS 2025Towards A Translative Model of Sperm Whale Vocalization
177. NeurIPS 2025Towards Visualization-of-Thought Jailbreak Attack against Large Visual Language Models
178. NeurIPS 2025Transformer brain encoders explain human high-level visual responses
179. NeurIPS 2025TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation
180. NeurIPS 2025UFO: A Unified Approach to Fine-grained Visual Perception via Open-ended Language Interface
181. NeurIPS 2025un$^2$CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP
182. NeurIPS 2025Unleashing Diffusion Transformers for Visual Correspondence by Modulating Massive Activations
183. NeurIPS 2025Unveiling the Spatial-temporal Effective Receptive Fields of Spiking Neural Networks
184. NeurIPS 2025Videos are Sample-Efficient Supervisions: Behavior Cloning from Videos via Latent Representations
185. NeurIPS 2025Visual Instruction Bottleneck Tuning
186. NeurIPS 2025Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
187. NeurIPS 2025Visual Sync: Multi‑Camera Synchronization via Cross‑View Object Motion
188. NeurIPS 2025VisualLens: Personalization through Task-Agnostic Visual History
189. NeurIPS 2025Watch and Listen: Understanding Audio-Visual-Speech Moments with Multimodal LLM
190. NeurIPS 2025Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering

FAQ

How many Audio-Visual Learning papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

790 in total: 158 in 2023, 160 in 2024, 190 in 2025, 282 in 2026.

How many Audio-Visual Learning papers are at NeurIPS 2026?

NeurIPS 2026 has 69 Audio-Visual Learning papers, versus 56 the year before.

How many Audio-Visual Learning papers are at ICLR 2026?

ICLR 2026 has 39 Audio-Visual Learning papers, versus 30 the year before.

How many Audio-Visual Learning papers are at ICML 2026?

ICML 2026 has 32 Audio-Visual Learning papers, versus 10 the year before.

How many Audio-Visual Learning papers are at CVPR 2026?

CVPR 2026 has 142 Audio-Visual Learning papers, versus 94 the year before.

Which conference publishes the most Audio-Visual Learning papers?

CVPR, with 402 papers from 2023 to 2026.