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)
Inference Helps PLMs’ Conceptual Understanding: Improving the Abstract Inference Ability with Hierarchical Conceptual Entailment Graphs
EMNLP 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
NeurIPS 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors
NeurIPS 2024
InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model
ACL 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
CVPR 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
IJCAI 2024
Information Bottleneck Based Data Correction in Continual Learning
ECCV 2024
Information Flow in Self-Supervised Learning
ICML 2024
InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset
WACV 2024
Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models
EMNLP 2024
Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation
NeurIPS 2024
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes
EMNLP 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024
Injecting Salesperson’s Dialogue Strategies in Large Language Models with Chain-of-Thought Reasoning
ACL 2024
Insights into LLM Long-Context Failures: When Transformers Know but Don’t Tell
EMNLP 2024
InstaGen: Enhancing Object Detection by Training on Synthetic Dataset
CVPR 2024
Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction
CVPR 2024
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation
CVPR 2024
Instance-based Max-margin for Practical Few-shot Recognition
CVPR 2024
Instance-Level Dynamic LoRAs Composition for Cross-Task Generalization
EMNLP 2024
Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance
ACL 2024
InstantBooth: Personalized Text-to-Image Generation without Test-Time Finetuning
CVPR 2024
InstructCMP: Length Control in Sentence Compression through Instruction-based Large Language Models
ACL 2024
InstructCoder: Instruction Tuning Large Language Models for Code Editing
ACL 2024
Instruction Embedding: Latent Representations of Instructions Towards Task Identification
NeurIPS 2024