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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)

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation AAAI 2023 Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes CVPR 2023 Image and Text: Fighting the same Battle? Super Resolution Learning for Imbalanced Text Classification EMNLP 2023 ImageBind: One Embedding Space To Bind Them All CVPR 2023 Image Captioners Are Scalable Vision Learners Too NeurIPS 2023 Image Cropping With Spatial-Aware Feature and Rank Consistency CVPR 2023 Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting CVPR 2023 ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification NeurIPS 2023 ImageNet Pre-training Also Transfers Non-robustness AAAI 2023 ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories EMNLP 2023 ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations ICLR 2023 Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding CVPR 2023 Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks ACL 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning CVPR 2023 Image-Text Pre-Training for Logo Recognition WACV 2023 Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning ACL 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023 Imitation Learning As State Matching via Differentiable Physics CVPR 2023 I’m Me, We’re Us, and I’m Us: Tri-directional Contrastive Learning on Hypergraphs AAAI 2023 Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023 Impact of classification difficulty on the weight matrices spectra in Deep Learning and application to early-stopping JMLR 2023 ImpDet: Exploring Implicit Fields for 3D Object Detection WACV 2023 Imperceptible Adversarial Attack via Invertible Neural Networks AAAI 2023 Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View CVPR 2023 Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning ICCV 2023