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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

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

InfoNCE Loss Provably Learns Cluster-Preserving Representations COLT 2023 Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills NeurIPS 2023 infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information ACL 2023 Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting AAAI 2023 Ingredient-Oriented Multi-Degradation Learning for Image Restoration CVPR 2023 InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT EMNLP 2023 Initialization Noise in Image Gradients and Saliency Maps CVPR 2023 Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization NeurIPS 2023 INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation ACL 2023 InParformer: Evolutionary Decomposition Transformers with Interactive Parallel Attention for Long-Term Time Series Forecasting AAAI 2023 Input Perturbation Reduces Exposure Bias in Diffusion Models ICML 2023 In-sample Curriculum Learning by Sequence Completion for Natural Language Generation ACL 2023 In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations ICLR 2023 Instance-Aware Domain Generalization for Face Anti-Spoofing CVPR 2023 Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection CVPR 2023 Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding AAAI 2023 Instant Domain Augmentation for LiDAR Semantic Segmentation CVPR 2023 InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning NeurIPS 2023 InstructoR: Instructing Unsupervised Conversational Dense Retrieval with Large Language Models EMNLP 2023 InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning EMNLP 2023 INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition ACL 2023 Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection ICCV 2023 Integrating Random Effects in Deep Neural Networks JMLR 2023 Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes NeurIPS 2023 Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile NeurIPS 2023