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)
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
NeurIPS 2024
Recursively-Constrained Partially Observable Markov Decision Processes
UAI 2024
RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates
AAAI 2024
Redefining Proactivity for Information Seeking Dialogue
EMNLP 2024
Red Teaming Language Models for Processing Contradictory Dialogues
EMNLP 2024
Reduce, Reuse, Recycle: Is Perturbed Data Better than Other Language Augmentation for Low Resource Self-Supervised Speech Models
Interspeech 2024
Reducing Privacy Risks in Online Self-Disclosures with Language Models
ACL 2024
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning
MIDL 2024
REDUCR: Robust Data Downsampling using Class Priority Reweighting
NeurIPS 2024
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks
NAACL 2024
Re-Evaluating Evaluation for Multilingual Summarization
EMNLP 2024
Re-Evaluating LiDAR Scene Flow
WACV 2024
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
NAACL 2024
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution
NeurIPS 2024
Reference-based Metrics Disprove Themselves in Question Generation
EMNLP 2024
Reference-guided Style-Consistent Content Transfer
COLING 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
NeurIPS 2024
Referral Augmentation for Zero-Shot Information Retrieval
ACL 2024
Referring Human Pose and Mask Estimation In the Wild
NeurIPS 2024
Refine, Align, and Aggregate: Multi-view Linguistic Features Enhancement for Aspect Sentiment Triplet Extraction
ACL 2024
Refined Characterizations of Approval-Based Committee Scoring Rules
AAAI 2024
Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention
COLING 2024
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
AAAI 2024
Refining Self-supervised Learnt Speech Representation using Brain Activations
Interspeech 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NeurIPS 2024