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)
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
AAAI 2024
Frustratingly Easy Test-Time Adaptation of Vision-Language Models
NeurIPS 2024
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features
CVPR 2024
FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis
AAAI 2024
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features
NeurIPS 2024
Full-Atom Peptide Design with Geometric Latent Diffusion
NeurIPS 2024
Full Bayesian Significance Testing for Neural Networks
AAAI 2024
Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting
IJCAI 2024
Full-Distance Evasion of Pedestrian Detectors in the Physical World
NeurIPS 2024
Full Parameter Fine-tuning for Large Language Models with Limited Resources
ACL 2024
Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation
AAAI 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
CVPR 2024
Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor
Interspeech 2024
Fumbling in Babel: An Investigation into ChatGPT’s Language Identification Ability
NAACL 2024
Functional Flow Matching
AISTATS 2024
Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights
IJCAI 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization
AISTATS 2024
Functionality learning through specification instructions
EMNLP 2024
Function-space Parameterization of Neural Networks for Sequential Learning
ICLR 2024
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey
ACL 2024
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
NeurIPS 2024
FUSE: Fast Unified Simulation and Estimation for PDEs
NeurIPS 2024
FUSE - FrUstration and Surprise Expressions: A Subtle Emotional Multimodal Language Corpus
COLING 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning
EMNLP 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
NeurIPS 2024