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)
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
ACL 2025
The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT
EMNLP 2025
The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation
ACL 2025
The Gemma Sutras: Fine-Tuning Gemma 3 for Sanskrit Sandhi Splitting
EMNLP 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
EMNLP 2025
The Hidden Attention of Mamba Models
ACL 2025
The Hidden Joules: Evaluating the Energy Consumption of Vision Backbones for Progress Towards More Efficient Model Inference
ICML 2025
The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It
ACL 2025
The Impact of Language Mixing on Bilingual LLM Reasoning
EMNLP 2025
The Impossibility of Fair LLMs
ACL 2025
The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models
ICCV 2025
The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
ACL 2025
The Language of Motion: Unifying Verbal and Non-verbal Language of 3D Human Motion
CVPR 2025
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
ICLR 2025
The Master Key Filters Hypothesis: Deep Filters Are General
AAAI 2025
The Medium Is Not the Message: Deconfounding Document Embeddings via Linear Concept Erasure
EMNLP 2025
The Missing Parts: Augmenting Fact Verification with Half Truth Detection
EMNLP 2025
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
ICML 2025
TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding
ACL 2025
Theorem Prover as a Judge for Synthetic Data Generation
ACL 2025
Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric Reasoning
EMNLP 2025
Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization
IJCAI 2025
Theory of Agreement-on-the-Line in Linear Models and Gaussian Data
AISTATS 2025
The Photographer's Eye: Teaching Multimodal Large Language Models to See, and Critique Like Photographers
CVPR 2025
The Power of Simplicity in LLM-Based Event Forecasting
ACL 2025