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)
Causal Imitation for Markov Decision Processes: a Partial Identification Approach
NeurIPS 2024
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval
AAAI 2024
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks
ICLR 2024
Causally Abstracted Multi-armed Bandits
UAI 2024
Causal Modeling with Stationary Diffusions
AISTATS 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Causal Q-Aggregation for CATE Model Selection
AISTATS 2024
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
ICML 2024
Causal Representation Learning via Counterfactual Intervention
AAAI 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
NeurIPS 2024
Causal Temporal Representation Learning with Nonstationary Sparse Transition
NeurIPS 2024
Causal vs. Anticausal merging of predictors
NeurIPS 2024
CCEdit: Creative and Controllable Video Editing via Diffusion Models
CVPR 2024
CCIIPLab at SIGHAN-2024 dimABSA Task: Contrastive Learning-Enhanced Span-based Framework for Chinese Dimensional Aspect-Based Sentiment Analysis
ACL 2024
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
EACL 2024
CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving
AAAI 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning
CVPR 2024
CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs
EMNLP 2024
CEAN: Contrastive Event Aggregation Network with LLM-based Augmentation for Event Extraction
EACL 2024
CEC: A Noisy Label Detection Method for Speaker Recognition
Interspeech 2024
CELLO: Causal Evaluation of Large Vision-Language Models
EMNLP 2024
Cell ontology guided transcriptome foundation model
NeurIPS 2024
CellPLM: Pre-training of Cell Language Model Beyond Single Cells
ICLR 2024
CEN_Amrita@LT-EDI 2024: A Transformer based Speech Recognition System for Vulnerable Individuals in Tamil
EACL 2024
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
NeurIPS 2024