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)
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection
AAAI 2024
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing
NeurIPS 2024
Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration
AAAI 2024
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification
NeurIPS 2024
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
CVPR 2024
Categorial Grammar Induction with Stochastic Category Selection
COLING 2024
Categorical Flow Matching on Statistical Manifolds
NeurIPS 2024
Categorical Generative Model Evaluation via Synthetic Distribution Coarsening
AISTATS 2024
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces
AAAI 2024
Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models
ACL 2024
Causal Bandits with General Causal Models and Interventions
AISTATS 2024
CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models
ACL 2024
CausalCite: A Causal Formulation of Paper Citations
ACL 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
CVPR 2024
Causal Contrastive Learning for Counterfactual Regression Over Time
NeurIPS 2024
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
NeurIPS 2024
Causal Discovery from Event Sequences by Local Cause-Effect Attribution
NeurIPS 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
AAAI 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
Causal discovery with endogenous context variables
NeurIPS 2024
Causal-Driven Skill Prerequisite Structure Discovery
AAAI 2024
Causal Effect Identification in a Sub-Population with Latent Variables
NeurIPS 2024
Causal Estimation of Memorisation Profiles
ACL 2024
Causal Feature Alignment: Learning To Ignore Spurious Background Features
WACV 2024
Causal-Guided Active Learning for Debiasing Large Language Models
ACL 2024