conftrace_

Machine Learning

132,800 papers (10 classified directly here)

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

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Design and Analysis of few Million Parameter Transformer-based Language Models trained over a few Million Tokens Dataset EMNLP 2025 Design Choices for Extending the Context Length of Visual Language Models ACL 2025 DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding EMNLP 2025 Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport AAAI 2025 Designing and Contextualising Probes for African Languages ACL 2025 Designing Concise ConvNets with Columnar Stages ICLR 2025 Designing Mechanical Meta-Materials by Learning Equivariant Flows ICLR 2025 Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling AAAI 2025 Design Principles of Multi-Scale J-Invariant Networks for Self-Supervised Image Denoising WACV 2025 Design Principle Transfer in Neural Architecture Search via Large Language Models AAAI 2025 De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025 DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding ICCV 2025 Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging AAAI 2025 Details Enhancement in Unsigned Distance Field Learning for High-fidelity 3D Surface Reconstruction AAAI 2025 Details Matter for Indoor Open-vocabulary 3D Instance Segmentation ICCV 2025 Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization CVPR 2025 Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine CVPR 2025 Detect Anything 3D in the Wild ICCV 2025 Detecting Adversarial Data Using Perturbation Forgery CVPR 2025 Detecting and Corrupting Convolution-based Unlearnable Examples AAAI 2025 Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs ACL 2025 Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback AAAI 2025 Detecting Backdoor Samples in Contrastive Language Image Pretraining ICLR 2025 Detecting Bias and Intersectional Bias in Italian Word Embeddings and Language Models ACL 2025 Detecting deepfakes and false ads through analysis of text and social engineering techniques COLING 2025