conftrace_

Core AI

4,031 papers (63 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Computer Vision (2,379) Multimodal Learning (1,361) Efficient Computing (251) Interpretability (81) Foundation Models (46)

Papers per year

1

13

12

10

17

17

15

22

97

43

97

71

82

143

175

293

289

399

489

692

888

166

'5

'10

'15

'20

'25

Papers (including subtopics)

CountGD: Multi-Modal Open-World Counting NeurIPS 2024 Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions NeurIPS 2024 CrossMAE: Cross-Modality Masked Autoencoders for Region-Aware Audio-Visual Pre-Training CVPR 2024 Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval AAAI 2024 Cross-Modal Match for Language Conditioned 3D Object Grounding AAAI 2024 CuReD: Deep Learning Optical Character Recognition for Cuneiform Text Editions and Legacy Materials ACL 2024 CV-VAE: A Compatible Video VAE for Latent Generative Video Models NeurIPS 2024 Cyclic Learning for Binaural Audio Generation and Localization CVPR 2024 DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor NeurIPS 2024 Dealing with Synthetic Data Contamination in Online Continual Learning NeurIPS 2024 Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison EMNLP 2024 Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP NeurIPS 2024 DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions CVPR 2024 Decoupling Semantic Similarity from Spatial Alignment for Neural Networks. NeurIPS 2024 Deep Correlated Prompting for Visual Recognition with Missing Modalities NeurIPS 2024 Deep Homography Estimation for Visual Place Recognition AAAI 2024 DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs NeurIPS 2024 Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species WACV 2024 Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation NeurIPS 2024 DenoiseRep: Denoising Model for Representation Learning NeurIPS 2024 Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model NeurIPS 2024 Dense Connector for MLLMs NeurIPS 2024 Depth From Asymmetric Frame-Event Stereo: A Divide-and-Conquer Approach WACV 2024 Depth Prompting for Sensor-Agnostic Depth Estimation CVPR 2024 Detours for Navigating Instructional Videos CVPR 2024