Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
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'25
Papers (including subtopics)
There’s No Such Thing as Simple Reasoning for LLMs
ACL 2025
The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning
ACL 2025
Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model
AAAI 2025
The Role of Abstract Representations and Observed Preferences in the Ordering of Binomials in Large Language Models
ACL 2025
The Role of Deductive and Inductive Reasoning in Large Language Models
ACL 2025
The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models
EMNLP 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings
AAAI 2025
The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding?
ACL 2025
The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community
ACL 2025
The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology
EMNLP 2025
The Source Image is the Best Attention for Infrared and Visible Image Fusion
ICCV 2025
The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models
EMNLP 2025
The Sublime Ordinary: A Tool for Analysing Temporal City Soundscapes
NeurIPS 2025
Thinking Fast and Slow: Robust Speech Recognition via Deep Filter-Tuning
Interspeech 2025
Thinking Out Loud: Do Reasoning Models Know When They’re Right?
EMNLP 2025
Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series
EMNLP 2025
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
ACL 2025
ThinkQE: Query Expansion via an Evolving Thinking Process
EMNLP 2025
Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair
EMNLP 2025
ThinkSLM: Towards Reasoning in Small Language Models
EMNLP 2025
Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification
ICCV 2025
Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)
NAACL 2025
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
AAAI 2025
ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations
EMNLP 2025
Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion
CVPR 2025