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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)

DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect ACL 2023 Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition EMNLP 2023 Doubly Right Object Recognition: A Why Prompt for Visual Rationales CVPR 2023 Downstream Datasets Make Surprisingly Good Pretraining Corpora ACL 2023 Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation ACL 2023 Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection ICML 2023 DPE: Disentanglement of Pose and Expression for General Video Portrait Editing CVPR 2023 DPF: Learning Dense Prediction Fields With Weak Supervision CVPR 2023 DrapeNet: Garment Generation and Self-Supervised Draping CVPR 2023 Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models CVPR 2023 Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions AAAI 2023 DropCompute: simple and more robust distributed synchronous training via compute variance reduction NeurIPS 2023 DropMAE: Masked Autoencoders With Spatial-Attention Dropout for Tracking Tasks CVPR 2023 DropMessage: Unifying Random Dropping for Graph Neural Networks AAAI 2023 DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions NeurIPS 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023 DSP: Discriminative Soft Prompts for Zero-Shot Entity and Relation Extraction ACL 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Dual-Alignment Pre-training for Cross-lingual Sentence Embedding ACL 2023 Dual-Domain Attention for Image Deblurring AAAI 2023 Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction ACL 2023 Dual Label-Guided Graph Refinement for Multi-View Graph Clustering AAAI 2023 Dual Low-Rank Graph Autoencoder for Semantic and Topological Networks AAAI 2023 Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation AAAI 2023 Dual Memory Fusion for Multimodal Speech Emotion Recognition Interspeech 2023