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)
How Lexical is Bilingual Lexicon Induction?
NAACL 2024
How many classifiers do we need?
NeurIPS 2024
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?
ICLR 2024
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
NeurIPS 2024
How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
EMNLP 2024
How Should We Extract Discrete Audio Tokens from Self-Supervised Models?
Interspeech 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective
NeurIPS 2024
How to Configure Good In-Context Sequence for Visual Question Answering
CVPR 2024
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
NeurIPS 2024
How to Do Politics with Words: Investigating Speech Acts in Parliamentary Debates
COLING 2024
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
AAAI 2024
How to Fix a Broken Confidence Estimator: Evaluating Post-hoc Methods for Selective Classification with Deep Neural Networks
UAI 2024
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study
ACL 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
EMNLP 2024
How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
AAAI 2024
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
CVPR 2024
How to Understand “Support”? An Implicit-enhanced Causal Inference Approach for Weakly-supervised Phrase Grounding
COLING 2024
How Useful is Context, Actually? Comparing LLMs and Humans on Discourse Marker Prediction
ACL 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
ACL 2024
How Vocabulary Sharing Facilitates Multilingualism in LLaMA?
ACL 2024
HQP: A Human-Annotated Dataset for Detecting Online Propaganda
ACL 2024
HRP: Human affordances for Robotic Pre-training
RSS 2024
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation
AAAI 2024
HS-GC: Holistic Semantic Embedding and Global Contrast for Effective Text Clustering
COLING 2024
HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?
SemEval 2024