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)
Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference
AAAI 2025
Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025
ACL 2025
Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback
COLING 2025
Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass
EMNLP 2025
EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics
AAAI 2025
EyeLLM: Using Lookback Fixations to Enhance Human-LLM Alignment for Text Completion
ACL 2025
EZSR: Event-based Zero-Shot Recognition
CVPR 2025
F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching
ACL 2025
FaceShield: Defending Facial Image against Deepfake Threats
ICCV 2025
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
AAAI 2025
Facilitating Long Context Understanding via Supervised Chain-of-Thought Reasoning
EMNLP 2025
Facilitating Personalized TTS for Dysarthric Speakers Using Knowledge Anchoring and Curriculum Learning
Interspeech 2025
Factorized RVQ-GAN For Disentangled Speech Tokenization
Interspeech 2025
Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain
EMNLP 2025
FADA: Fast Diffusion Avatar Synthesis with Mixed-Supervised Multi-CFG Distillation
CVPR 2025
FADE: Why Bad Descriptions Happen to Good Features
ACL 2025
Failing Forward: Improving Generative Error Correction for ASR with Synthetic Data and Retrieval Augmentation
ACL 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training
ICCV 2025
FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
Interspeech 2025
Fairness in Dysarthric Speech Synthesis: Understanding Intrinsic Bias in Dysarthric Speech Cloning using F5-TTS
Interspeech 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
ACL 2025
Fair Text Classification via Transferable Representations
JMLR 2025
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
CVPR 2025
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding
CVPR 2025
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
EMNLP 2025