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)
Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
AAAI 2024
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models
ACL 2024
Interactive Network Perturbation Between Teacher and Students for Semi-Supervised Semantic Segmentation
WACV 2024
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
ACL 2024
Interactive Visual Task Learning for Robots
AAAI 2024
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint
NeurIPS 2024
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction
NeurIPS 2024
Interfacing Foundation Models' Embeddings
NeurIPS 2024
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
CVPR 2024
IntEr-HRI Competition: Intrinsic Error Evaluation during Human - Robot Interaction
IJCAI 2024
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context
EMNLP 2024
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States
EMNLP 2024
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
ICLR 2024
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
ECCV 2024
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
ICLR 2024
Interplay of Machine Translation, Diacritics, and Diacritization
NAACL 2024
Interpretability Guarantees with Merlin-Arthur Classifiers
AISTATS 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
EMNLP 2024
Interpretable Concept-Based Memory Reasoning
NeurIPS 2024
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents
NeurIPS 2024
Interpretable Mesomorphic Networks for Tabular Data
NeurIPS 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
EMNLP 2024
Interpretable Short Video Rumor Detection Based on Modality Tampering
COLING 2024
InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning
AAAI 2024
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
NeurIPS 2024