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
'15
'20
'25
Papers (including subtopics)
Towards an Explainable Comparison and Alignment of Feature Embeddings
ICML 2025
Towards atypical speech transcription using LLM-based ASR
Interspeech 2025
Towards Automated Error Discovery: A Study in Conversational AI
EMNLP 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
CVPR 2025
Towards Better Robustness Against Natural Corruptions in Document Tampering Localization
AAAI 2025
Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction
AAAI 2025
Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ
Interspeech 2025
Towards Classification of Typical and Atypical Disfluencies: A Self Supervised Representation Approach
Interspeech 2025
Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters
CVPR 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
ACL 2025
Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey
EMNLP 2025
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models
ICCV 2025
Towards Early Prediction of Self-Supervised Speech Model Performance
Interspeech 2025
Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs
ACL 2025
Towards Effective and Efficient Continual Pre-training of Large Language Models
ACL 2025
Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
AAAI 2025
Towards Effective Extraction and Evaluation of Factual Claims
ACL 2025
Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
AAAI 2025
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
ACL 2025
Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning
AAAI 2025
Towards Efficiently Whisper Fine-tuning with Monotonic Alignments
Interspeech 2025
Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification
ICML 2025
Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction
EMNLP 2025
Towards Fairness Assessment of Dutch Hate Speech Detection
ACL 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025