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)
AFBench: A Large-scale Benchmark for Airfoil Design
NeurIPS 2024
A Few-Shot Multi-Accented Speech Classification for Indian Languages using Transformers and LLM’s Fine-Tuning Approaches
EACL 2024
A Fixed-Point Approach to Unified Prompt-Based Counting
AAAI 2024
AFL-Net: Integrating Audio, Facial, and Lip Modalities with a Two-step Cross-attention for Robust Speaker Diarization in the Wild
Interspeech 2024
A Fourier Perspective of Feature Extraction and Adversarial Robustness
IJCAI 2024
A Framework for Mining Speech-to-Text Transcripts of the Customer for Automated Problem Remediation
AAAI 2024
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
EMNLP 2024
AFTer-SAM: Adapting SAM With Axial Fusion Transformer for Medical Imaging Segmentation
WACV 2024
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
IJCAI 2024
A General Framework for Learning from Weak Supervision
ICML 2024
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
UAI 2024
A Generalizable Theory-Driven Agent-Based Framework to Study Conflict-Induced Forced Migration
AAAI 2024
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
AAAI 2024
A General Theoretical Paradigm to Understand Learning from Human Preferences
AISTATS 2024
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
CVPR 2024
A Generative Model of Symmetry Transformations
NeurIPS 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
EMNLP 2024
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
NeurIPS 2024
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
ACL 2024
AgentReview: Exploring Peer Review Dynamics with LLM Agents
EMNLP 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NeurIPS 2024
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation
IJCAI 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
COLING 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity
COLT 2024
Agnostic Multi-Robust Learning using ERM
AISTATS 2024