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
'20
'25
Papers (including subtopics)
Interpretable Zero-Shot Learning with Locally-Aligned Vision-Language Model
ICCV 2025
Inter-Speaker Relative Cues for Text-Guided Target Speech Extraction
Interspeech 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
Interweaving Memories of a Siamese Large Language Model
AAAI 2025
In-the-wild Audio Spatialization with Flexible Text-guided Localization
ACL 2025
In This Environment, As That Speaker: A Text-Driven Framework for Multi-Attribute Speech Conversion
Interspeech 2025
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
AAAI 2025
Introducing OmniGEC: A Silver Multilingual Dataset for Grammatical Error Correction
ACL 2025
Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents
EMNLP 2025
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features
ICCV 2025
Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process
ACL 2025
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
AISTATS 2025
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
AAAI 2025
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation
AAAI 2025
Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition
NAACL 2025
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency
ACL 2025
Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models
ACL 2025
Investigating Context Faithfulness in Large Language Models: The Roles of Memory Strength and Evidence Style
ACL 2025
Investigating continuous autoregressive generative speech enhancement
Interspeech 2025
Investigating Gender Bias in Text-to-Audio Generation Models
Interspeech 2025
Investigating Language Preference of Multilingual RAG Systems
ACL 2025
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
ACL 2025
Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction
Interspeech 2025
Investigating the Reasoning Abilities of Large Language Models for Understanding Spoken Language in Interpersonal Interactions
Interspeech 2025
Investigating the Robustness of Retrieval-Augmented Generation at the Query Level
ACL 2025