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)
Flipping-based Policy for Chance-Constrained Markov Decision Processes
NeurIPS 2024
FLIRT: Feedback Loop In-context Red Teaming
EMNLP 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
NeurIPS 2024
FLOR: On the Effectiveness of Language Adaptation
COLING 2024
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
EMNLP 2024
FlowIE: Efficient Image Enhancement via Rectified Flow
CVPR 2024
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions
NeurIPS 2024
Flow Scheduling with Imprecise Knowledge
NSDI 2024
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception
NeurIPS 2024
F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation
NAACL 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NeurIPS 2024
Focused Large Language Models are Stable Many-Shot Learners
EMNLP 2024
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models
ACL 2024
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders
CVPR 2024
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
CVPR 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NeurIPS 2024
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability
ACL 2024
Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
COLT 2024
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification
ICLR 2024
Fooling Polarization-Based Vision using Locally Controllable Polarizing Projection
CVPR 2024
Fooling the Textual Fooler via Randomizing Latent Representations
ACL 2024
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation
EMNLP 2024
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations
ICML 2024
Forced Exploration in Bandit Problems
AAAI 2024
Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels
EACL 2024