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)
ConStat: Performance-Based Contamination Detection in Large Language Models
NeurIPS 2024
ConstitutionalExperts: Training a Mixture of Principle-based Prompts
ACL 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
NeurIPS 2024
Constrained Decoding for Cross-lingual Label Projection
ICLR 2024
Constrained Diffusion Models via Dual Training
NeurIPS 2024
Constrained Ensemble Exploration for Unsupervised Skill Discovery
ICML 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
NeurIPS 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming
AAAI 2024
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases
EACL 2024
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
ICLR 2024
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
CVPR 2024
Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge
EMNLP 2024
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
NeurIPS 2024
Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation
CVPR 2024
Contamination-source based K-sample clustering
JMLR 2024
ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction
ACL 2024
Content Filtering with Inattentive Information Consumers
AAAI 2024
Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth
CVPR 2024
Context-aware Adversarial Attack on Named Entity Recognition
EACL 2024
Context-aware and Style-related Incremental Decoding Framework for Discourse-Level Literary Translation
EMNLP 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
EMNLP 2024
Context-aware Difference Distilling for Multi-change Captioning
ACL 2024
Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History
EMNLP 2024
Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues
ACL 2024
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
EMNLP 2024