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)
TabComp: A Dataset for Visual Table Reading Comprehension
NAACL 2025
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization
AAAI 2025
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering
AAAI 2025
TableCoder: Table Extraction from Text via Reliable Code Generation
ACL 2025
TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning
ACL 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
ACL 2025
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
EMNLP 2025
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
ACL 2025
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
EMNLP 2025
Tables as Thought: Exploring Structured Thoughts in LLM Reasoning
ACL 2025
Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data
ACL 2025
TabWak: A Watermark for Tabular Diffusion Models
ICLR 2025
Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation
IJCAI 2025
TaCL-CoMoE: Task-adaptive Contrastive Learning with Cooperative Mixture of Experts for Multi-task Social Media Analysis
IJCNLP 2025
TACLE: Task and Class-Aware Exemplar-Free Semi-Supervised Class Incremental Learning
WACV 2025
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification
ACL 2025
Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
CoRL 2025
TaeBench: Improving Quality of Toxic Adversarial Examples
NAACL 2025
TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew
EMNLP 2025
TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
CVPR 2025
TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data
NAACL 2025
TAG–EQA: Text–And–Graph for Event Question Answering via Structured Prompting Strategies
EMNLP 2025
Tag-First: Mitigating Distributional Bias in Synthetic User Profiles through Controlled Attribute Generation
ACL 2025
Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts
EMNLP 2025
TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks
ACL 2025