Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Challenges in Adapting Multilingual LLMs to Low-Resource Languages using LoRA PEFT Tuning
COLING 2025
Change Point Detection in Hadamard Spaces by Alternating Minimization
AISTATS 2025
Channel Consistency Prior and Self-Reconstruction Strategy Based Unsupervised Image Deraining
CVPR 2025
Character-Aware English-to-Japanese Translation of Fictional Dialogue Using Speaker Embeddings and Back-Translation
EMNLP 2025
Character is Destiny: Can Persona-assigned Language Models Make Personal Choices?
EMNLP 2025
Characterizing Mamba’s Selective Memory using Auto-Encoders
IJCNLP 2025
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
COLING 2025
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead
EMNLP 2025
ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension
EMNLP 2025
ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
ICLR 2025
ChatBench: From Static Benchmarks to Human-AI Evaluation
ACL 2025
Chat-Driven Text Generation and Interaction for Person Retrieval
EMNLP 2025
ChatGarment: Garment Estimation, Generation and Editing via Large Language Models
CVPR 2025
ChatReID: Open-ended Interactive Person Retrieval via Hierarchical Progressive Tuning for Vision Language Models
ICCV 2025
CHATTER: A character-attribution dataset for narrative understanding
NAACL 2025
Cheap Character Noise for OCR-Robust Multilingual Embeddings
ACL 2025
CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklists
EMNLP 2025
Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
ACL 2025
CHEER-Ekman: Fine-grained Embodied Emotion Classification
ACL 2025
Chemistry-Inspired Diffusion with Non-Differentiable Guidance
ICLR 2025
ChengyuSTS: An Intrinsic Perspective on Mandarin Idiom Representation
EMNLP 2025
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
AAAI 2025
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
ACL 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CVPR 2025
Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model’s Capability of Emotion Perception using Contrastive Learning
SemEval 2025