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)
Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks
AAAI 2024
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
ICLR 2024
Cloud Object Detector Adaptation by Integrating Different Source Knowledge
NeurIPS 2024
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update
CVPR 2024
Clustering for Protein Representation Learning
CVPR 2024
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
NeurIPS 2024
Cluster-Norm for Unsupervised Probing of Knowledge
EMNLP 2024
CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection
AAAI 2024
CMD: a framework for Context-aware Model self-Detoxification
EMNLP 2024
CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset
ACL 2024
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
ACL 2024
CNC-Net: Self-Supervised Learning for CNC Machining Operations
CVPR 2024
CNEQ: Incorporating numbers into Knowledge Graph Reasoning
EMNLP 2024
CNN Kernels Can Be the Best Shapelets
ICLR 2024
Coarse-to-Fine Generative Model for Oracle Bone Inscriptions Inpainting
ACL 2024
Coconut: Contextualized Commonsense Unified Transformers for Graph-Based Commonsense Augmentation of Language Models
ACL 2024
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
ACL 2024
CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
ACL 2024
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
CodeJudge: Evaluating Code Generation with Large Language Models
EMNLP 2024
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
EMNLP 2024
CoDi-2: In-Context Interleaved and Interactive Any-to-Any Generation
CVPR 2024
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
CVPR 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
EMNLP 2024
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
EMNLP 2024