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)
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
ICLR 2024
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
NeurIPS 2024
Compositional Structured Explanation Generation with Dynamic Modularized Reasoning
NAACL 2024
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues
AAAI 2024
Computational Analysis of Dehumanization of Ukrainians on Russian Social Media
EACL 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NeurIPS 2024
Computerized Adaptive Testing via Collaborative Ranking
NeurIPS 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
NeurIPS 2024
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
AAAI 2024
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
IJCAI 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NeurIPS 2024
Concept-aware Data Construction Improves In-context Learning of Language Models
ACL 2024
Concept-Guided Prompt Learning for Generalization in Vision-Language Models
AAAI 2024
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
ACL 2024
Concept Over Time Analysis: Unveiling Temporal Patterns for Qualitative Data Analysis
NAACL 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models
EMNLP 2024
Conditional and Modal Reasoning in Large Language Models
EMNLP 2024
Conditional Backdoor Attack via JPEG Compression
AAAI 2024
Conditional Information Bottleneck Approach for Time Series Imputation
ICLR 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
ICLR 2024
Conditional Synthesis of 3D Molecules with Time Correction Sampler
NeurIPS 2024
Conditions on Preference Relations that Guarantee the Existence of Optimal Policies
AISTATS 2024
Confidence-aware Hypothesis Transfer Networks for Source-Free Cross-Corpus Speech Emotion Recognition
Interspeech 2024
Confidence Calibration of Classifiers with Many Classes
NeurIPS 2024
Confidence Is All You Need for MI Attacks (Student Abstract)
AAAI 2024