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)
Language Model Self-improvement by Reinforcement Learning Contemplation
ICLR 2024
Language Models Hallucinate, but May Excel at Fact Verification
NAACL 2024
Language Models Still Struggle to Zero-shot Reason about Time Series
EMNLP 2024
Language-only Training of Zero-shot Composed Image Retrieval
CVPR 2024
Language-to-Code Translation with a Single Labeled Example
EMNLP 2024
Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition
Interspeech 2024
LAN: Learning to Adapt Noise for Image Denoising
CVPR 2024
Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video
MIDL 2024
LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification
EMNLP 2024
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI
ICLR 2024
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course
EMNLP 2024
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
IJCAI 2024
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection
IJCAI 2024
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
ACL 2024
Large Language Models are Good Prompt Learners for Low-Shot Image Classification
CVPR 2024
Large Language Models are In-context Teachers for Knowledge Reasoning
EMNLP 2024
Large Language Models are not Fair Evaluators
ACL 2024
Large Language Models are Students at Various Levels: Zero-shot Question Difficulty Estimation
EMNLP 2024
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment
ACL 2024
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
ACL 2024
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning
NAACL 2024
Large Language Models Can Learn Temporal Reasoning
ACL 2024
Large Language Models Can Self-Correct with Key Condition Verification
EMNLP 2024
Large Language Models Encode the Practice of Medicine
NAACL 2024
Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)
NeurIPS 2024