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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Deep Visuo-Tactile Learning: Estimation of Tactile Properties from Images (Extended Abstract) IJCAI 2020 DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling IJCAI 2020 Deep Weighted MaxSAT for Aspect-based Opinion Extraction EMNLP 2020 Deep White-Balance Editing CVPR 2020 DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning CVPR 2020 Defending Against Model Stealing Attacks With Adaptive Misinformation CVPR 2020 Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020 Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack CVPR 2020 DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling ICLR 2020 DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020 Deformable Siamese Attention Networks for Visual Object Tracking CVPR 2020 Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals CVPR 2020 DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier AAAI 2020 Demoting Racial Bias in Hate Speech Detection ACL 2020 Denoising Multi-Source Weak Supervision for Neural Text Classification EMNLP 2020 Denoising Relation Extraction from Document-level Distant Supervision EMNLP 2020 Dense Passage Retrieval for Open-Domain Question Answering EMNLP 2020 Density-Aware Graph for Deep Semi-Supervised Visual Recognition CVPR 2020 Density-Based Clustering for 3D Object Detection in Point Clouds CVPR 2020 DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020 Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification ACL 2020 Designing Precise and Robust Dialogue Response Evaluators ACL 2020 Detail-recovery Image Deraining via Context Aggregation Networks CVPR 2020 Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020