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)
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning
L4DC 2024
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
AAAI 2024
FIRST: Faster Improved Listwise Reranking with Single Token Decoding
EMNLP 2024
First-Order Minimax Bilevel Optimization
NeurIPS 2024
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
EMNLP 2024
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
EMNLP 2024
FishTrack23: An Ensemble Underwater Dataset for Multi-Object Tracking
WACV 2024
Fixed-Budget Differentially Private Best Arm Identification
ICLR 2024
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation
ICLR 2024
Fixing Overconfidence in Dynamic Neural Networks
WACV 2024
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
NeurIPS 2024
FLAME: A Small Language Model for Spreadsheet Formulas
AAAI 2024
FLAME : Factuality-Aware Alignment for Large Language Models
NeurIPS 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
CVPR 2024
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM
NeurIPS 2024
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning
ICLR 2024
Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning
CVPR 2024
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals
NeurIPS 2024
Flexible task abstractions emerge in linear networks with fast and bounded units
NeurIPS 2024
Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition
ACL 2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint)
AAAI 2024
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
AAAI 2024
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
NeurIPS 2024
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models
EMNLP 2024
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery
NeurIPS 2024