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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'20
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Papers (including subtopics)
Effective Synthetic Data and Test-Time Adaptation for OCR Correction
EMNLP 2024
Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability
AISTATS 2024
Effects of different types of noise in user-generated reviews on human and machine translations including ChatGPT
EACL 2024
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
ACL 2024
Efficiency for Free: Ideal Data Are Transportable Representations
NeurIPS 2024
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach
AISTATS 2024
Efficient Active Learning with Adapters
EMNLP 2024
Efficient Adversarial Training in LLMs with Continuous Attacks
NeurIPS 2024
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs
COLT 2024
Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
CVPR 2024
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization
IJCAI 2024
Efficient Audio Captioning with Encoder-Level Knowledge Distillation
Interspeech 2024
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
NeurIPS 2024
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
ICLR 2024
Efficient Conformal Prediction under Data Heterogeneity
AISTATS 2024
Efficient Constrained K-center Clustering with Background Knowledge
AAAI 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
NeurIPS 2024
Efficient Continual Pre-training for Building Domain Specific Large Language Models
ACL 2024
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
ICML 2024
Efficient Convex Algorithms for Universal Kernel Learning
JMLR 2024
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
ACL 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation
AAAI 2024
Efficient Dynamic Hard Negative Sampling for Dialogue Selection
ACL 2024
Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning
WACV 2024
Efficient Feature Distillation for Zero-Shot Annotation Object Detection
WACV 2024