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)
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques
NeurIPS 2024
Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
CVPR 2024
Interpretable Mesomorphic Networks for Tabular Data
NeurIPS 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
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
ACL 2024
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
ACL 2024
INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair
ACL 2024
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
EMNLP 2024
Inter-X: Towards Versatile Human-Human Interaction Analysis
CVPR 2024
Into the Unknown: Generating Geospatial Descriptions for New Environments
ACL 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
NeurIPS 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
CVPR 2024
Intrinsic Phase-Preserving Networks for Depth Super Resolution
AAAI 2024
Intrinsic Self-Supervision for Data Quality Audits
NeurIPS 2024
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations
NAACL 2024
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
ECCV 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
NeurIPS 2024
Invariant Risk Minimization Is A Total Variation Model
ICML 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
NeurIPS 2024
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
EMNLP 2024
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
NeurIPS 2024
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models
EMNLP 2024
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups
EMNLP 2024
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?
EMNLP 2024