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
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Papers (including subtopics)
CoCoHD: Congress Committee Hearing Dataset
EMNLP 2024
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds
EMNLP 2024
Co-Creational Teaching of Natural Language Processing
ACL 2024
CoD: Coherent Detection of Entities From Images With Multiple Modalities
WACV 2024
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges
ACL 2024
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
ICLR 2024
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models
NeurIPS 2024
CodeFort: Robust Training for Code Generation Models
EMNLP 2024
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
ICML 2024
CodeJudge: Evaluating Code Generation with Large Language Models
EMNLP 2024
Code_Makers@DravidianLangTech-EACL 2024 : Sentiment Analysis in Code-Mixed Tamil using Machine Learning Techniques
EACL 2024
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
EMNLP 2024
CODE REPRESENTATION LEARNING AT SCALE
ICLR 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
EMNLP 2024
Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret
AAAI 2024
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning
NeurIPS 2024
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code
EMNLP 2024
CoGen: Learning from Feedback with Coupled Comprehension and Generation
EMNLP 2024
CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models
EMNLP 2024
Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking
NAACL 2024
Coherent Temporal Synthesis for Incremental Action Segmentation
CVPR 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NeurIPS 2024
CoLAL: Co-learning Active Learning for Text Classification
AAAI 2024
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
NeurIPS 2024
Collaboration! Towards Robust Neural Methods for Routing Problems
NeurIPS 2024