conftrace_

Learning Types

32,670 papers (1 classified directly here)

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

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

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'20

'25

Papers (including subtopics)

Learning Input Encodings for Kernel-Optimal Implicit Neural Representations ICML 2025 Learning Invariant Causal Mechanism from Vision-Language Models ICML 2025 Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision WACV 2025 Learning More Expressive General Policies for Classical Planning Domains AAAI 2025 Learning More with Less: Self-Supervised Approaches forLow-Resource Speech Emotion Recognition Interspeech 2025 Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion AAAI 2025 Learning Neural Scene Representation from iToF Imaging ICCV 2025 Learning Optimal Multimodal Information Bottleneck Representations ICML 2025 Learning Optimal Prosody Embedding Codebook based on F0 and Energy Interspeech 2025 Learning Person-Specific Animatable Face Models from In-the-Wild Images via a Shared Base Model CVPR 2025 Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems CVPR 2025 Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Learning Semi-Supervised Medical Image Segmentation from Spatial Registration WACV 2025 Learning Strategy Representation for Imitation Learning in Multi-Agent Games AAAI 2025 Learning Task Representations from In-Context Learning ACL 2025 Learning Temporally Consistent Video Depth from Video Diffusion Priors CVPR 2025 Learning Textual Prompts for Open-World Semi-Supervised Learning CVPR 2025 Learning Theorem Rationale for Improving the Mathematical Reasoning Capability of Large Language Models AAAI 2025 Learning the Power of "No": Foundation Models with Negations WACV 2025 Learning to Explore and Exploit with GNNs for Unsupervised Combinatorial Optimization ICLR 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025 Learning to Generate Structured Output with Schema Reinforcement Learning ACL 2025 Learning Together Securely: Prototype-Based Federated Multi-Modal Hashing for Safe and Efficient Multi-Modal Retrieval AAAI 2025 Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning ACL 2025 Learning to Highlight Audio by Watching Movies CVPR 2025