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)
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
AAAI 2025
IndicClaimBuster: A Multilingual Claim Verification Dataset
IJCNLP 2025
Indirect Gradient Matching for Adversarial Robust Distillation
ICLR 2025
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits
ACL 2025
Indonesian Speech Content De-Identification in Low Resource Transcripts
COLING 2025
InductionBench: LLMs Fail in the Simplest Complexity Class
ACL 2025
Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning
NAACL 2025
Inductive Reasoning on Few-Shot Knowledge Graphs with Task-Aware Language Models
EMNLP 2025
iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News
ACL 2025
InfAL: Inference Time Adversarial Learning for Improving Research Ideation
EMNLP 2025
Infant Action Generative Modeling
WACV 2025
Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models
ICLR 2025
Inference of Human-derived Specifications of Object Placement via Demonstration
IJCAI 2025
Inference Scaling for Bridging Retrieval and Augmented Generation
NAACL 2025
Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection
ACL 2025
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
CVPR 2025
InfiniDreamer: Arbitrarily Long Human Motion Generation via Segment Score Distillation
ICCV 2025
InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model
ACL 2025
Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation
AISTATS 2025
Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack
AAAI 2025
Influence-driven Curriculum Learning for Pre-training on Limited Data
EMNLP 2025
InfoGain-RAG: Boosting Retrieval-Augmented Generation through Document Information Gain-based Reranking and Filtering
EMNLP 2025
Infogent: An Agent-Based Framework for Web Information Aggregation
NAACL 2025
InfoNCE: Identifying the Gap Between Theory and Practice
AISTATS 2025
Information Density Principle for MLLM Benchmarks
ICCV 2025