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
'25
Papers (including subtopics)
Beyond Probabilities: Unveiling the Misalignment in Evaluating Large Language Models
ACL 2024
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models
NeurIPS 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
AAAI 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
NeurIPS 2024
Beyond Reference: Evaluating High Quality Translations Better than Human References
EMNLP 2024
Beyond Retrieval: Topic-based Alignment of Scientific Papers to Research Proposal
ACL 2024
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints
ICLR 2024
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
CVPR 2024
Beyond Sentence-level Text Simplification: Reproducibility Study of Context-Aware Document Simplification
COLING 2024
Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction
ACL 2024
Beyond Slow Signs in High-fidelity Model Extraction
NeurIPS 2024
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models
ICML 2024
Beyond task diversity: provable representation transfer for sequential multitask linear bandits
NeurIPS 2024
Beyond Text: Leveraging Multi-Task Learning and Cognitive Appraisal Theory for Post-Purchase Intention Analysis
ACL 2024
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples
CVPR 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
COLING 2024
Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation
AAAI 2024
Beyond the Numbers: Transparency in Relation Extraction Benchmark Creation and Leaderboards
EMNLP 2024
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation
ACL 2024
Beyond Words: Decoding Facial Expression Dynamics in Motivational Interviewing
COLING 2024
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
NAACL 2024
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
ICML 2024
Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video
AAAI 2024
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training
NeurIPS 2024
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation
ACL 2024