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)
Understanding Multi-Task Activities from Single-Task Videos
CVPR 2025
Understanding Personal Concept in Open-Vocabulary Semantic Segmentation
ICCV 2025
Understanding Reference Policies in Direct Preference Optimization
NAACL 2025
Understanding Subword Compositionality of Large Language Models
EMNLP 2025
Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters
ICML 2025
Understanding the Impact of Client Heterogeneity on Ordinal Classification in Federated Medical Image Analysis
MIDL 2025
Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain
ACL 2025
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
AISTATS 2025
Understanding the Repeat Curse in Large Language Models from a Feature Perspective
ACL 2025
Understanding Verbatim Memorization in LLMs Through Circuit Discovery
ACL 2025
Understand the Implication: Learning to Think for Pragmatic Understanding
ACL 2025
Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning
EMNLP 2025
UniBuc-SB at ArchEHR-QA 2025: A Resource-Constrained Pipeline for Relevance Classification and Grounded Answer Synthesis
ACL 2025
UNIBUC-SD at ArchEHR-QA 2025: Prompting Our Way to Clinical QA with Multi-Model Ensembling
ACL 2025
UniCodec: Unified Audio Codec with Single Domain-Adaptive Codebook
ACL 2025
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
ACL 2025
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
AAAI 2025
UniDxMD: Towards Unified Representation for Cross-Modal Unsupervised Domain Adaptation in 3D Semantic Segmentation
ICCV 2025
UniEDU: Toward Unified and Efficient Large Multimodal Models for Educational Tasks
EMNLP 2025
Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision
AAAI 2025
Unified Graph Neural Networks Pre-training for Multi-domain Graphs
AAAI 2025
Unified Medical Lesion Segmentation via Self-referring Indicator
CVPR 2025
Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation
Interspeech 2025
Unified Molecule-Text Language Model with Discrete Token Representation
IJCAI 2025
Unified Multimodal Understanding via Byte-Pair Visual Encoding
ICCV 2025