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

160 papers, page 3 of 4

101. ICLR 2024On the Role of Discrete Tokenization in Visual Representation Learning
102. ICLR 2024RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
103. ICLR 2024SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
104. ICLR 2024T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
105. ICLR 2024Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
106. ICLR 2024Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
107. ICLR 2024Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
108. ICML 2024AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
109. ICML 2024Coarse-To-Fine Tensor Trains for Compact Visual Representations
110. ICML 2024EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning
111. ICML 2024From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation
112. ICML 2024Gradient-based Visual Explanation for Transformer-based CLIP
113. ICML 2024IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation
114. ICML 2024Learning to Infer Generative Template Programs for Visual Concepts
115. ICML 2024Listenable Maps for Audio Classifiers
116. ICML 2024Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels
117. ICML 2024Rejuvenating image-GPT as Strong Visual Representation Learners
118. ICML 2024Revisiting the Power of Prompt for Visual Tuning
119. ICML 2024Sample-specific Masks for Visual Reprogramming-based Prompting
120. ICML 2024STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
121. ICML 2024Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
122. ICML 2024Unifying Image Processing as Visual Prompting Question Answering
123. ICML 2024Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
124. ICML 2024video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
125. ICML 2024VideoPrism: A Foundational Visual Encoder for Video Understanding
126. ICML 2024Visual Representation Learning with Stochastic Frame Prediction
127. ICML 2024Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
128. NeurIPS 2024A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations
129. NeurIPS 2024An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching
130. NeurIPS 2024AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting
131. NeurIPS 2024Bayesian-guided Label Mapping for Visual Reprogramming
132. NeurIPS 2024Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
133. NeurIPS 2024Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
134. NeurIPS 2024Beyond Accuracy: Tracking more like Human via Visual Search
135. NeurIPS 2024ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model
136. NeurIPS 2024Continual Audio-Visual Sound Separation
137. NeurIPS 2024ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models
138. NeurIPS 2024CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
139. NeurIPS 2024Focus On What Matters: Separated Models For Visual-Based RL Generalization
140. NeurIPS 2024Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products
141. NeurIPS 2024iVideoGPT: Interactive VideoGPTs are Scalable World Models
142. NeurIPS 2024Language Model as Visual Explainer
143. NeurIPS 2024Learning 1D Causal Visual Representation with De-focus Attention Networks
144. NeurIPS 2024Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes
145. NeurIPS 2024LIVE: Learnable In-Context Vector for Visual Question Answering
146. NeurIPS 2024Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
147. NeurIPS 2024Mixture of Nested Experts: Adaptive Processing of Visual Tokens
148. NeurIPS 2024Mixtures of Experts for Audio-Visual Learning
149. NeurIPS 2024QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model
150. NeurIPS 2024Reproducibility of predictive networks for mouse visual cortex

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.