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)
BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation
NAACL 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs
NeurIPS 2024
BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning
CVPR 2024
∞Bench: Extending Long Context Evaluation Beyond 100K Tokens
ACL 2024
BenchIE^FL: A Manually Re-Annotated Fact-Based Open Information Extraction Benchmark
ACL 2024
Benchmark Data Repositories for Better Benchmarking
NeurIPS 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation
ACL 2024
Benchmarking and Improving Generator-Validator Consistency of Language Models
ICLR 2024
Benchmarking Children's ASR with Supervised and Self-supervised Speech Foundation Models
Interspeech 2024
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations
ACL 2024
Benchmarking Cyber Harassment Dialogue Comprehension through Emotion-Informed Manifestations-Determinants Demarcation
AAAI 2024
Benchmarking Data Science Agents
ACL 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
NeurIPS 2024
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming
NeurIPS 2024
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.
NeurIPS 2024
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
NeurIPS 2024
Benchmarking Retrieval-Augmented Generation for Medicine
ACL 2024
Benchmarking Segmentation Models with Mask-Preserved Attribute Editing
CVPR 2024
Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset
IJCAI 2024
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
JMLR 2024
BengaliLCP: A Dataset for Lexical Complexity Prediction in the Bengali Texts
COLING 2024
Benign Overfitting in Adversarial Training of Neural Networks
ICML 2024
BEnQA: A Question Answering Benchmark for Bengali and English
ACL 2024
BERT-based Idiom Identification using Language Translation and Word Cohesion
COLING 2024
BERT-BC: A Unified Alignment and Interaction Model over Hierarchical BERT for Response Selection
COLING 2024