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)
WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata
NeurIPS 2024
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models
NeurIPS 2024
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?
EMNLP 2024
Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning and Enhanced Policy Planning
AAAI 2024
Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation
COLING 2024
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
NeurIPS 2024
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
ICML 2024
WisPerMed at “Discharge Me!”: Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV
ACL 2024
With a Little Help from Language: Semantic Enhanced Visual Prototype Framework for Few-Shot Learning
IJCAI 2024
WMT24 Test Suite: Gender Resolution in Speaker-Listener Dialogue Roles
EMNLP 2024
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
CVPR 2024
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks
NeurIPS 2024
Word Matters: What Influences Domain Adaptation in Summarization?
ACL 2024
Words That Stick: Using Keyword Cohesion to Improve Text Segmentation
CoNLL 2024
WordWizards@DravidianLangTech 2024:Fake News Detection in Dravidian Languages using Cross-lingual Sentence Embeddings
EACL 2024
Work in Progress: Text-to-speech on Edge Devices for Te Reo Māori and ‘Ōlelo Hawaiʻi
COLING 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
NeurIPS 2024
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering
EMNLP 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
NeurIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
NeurIPS 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework
AAAI 2024
WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives
IJCAI 2024
WPO: Enhancing RLHF with Weighted Preference Optimization
EMNLP 2024
XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation
COLING 2024
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
NAACL 2024