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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)

Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement Interspeech 2020 Sub-Band Knowledge Distillation Framework for Speech Enhancement Interspeech 2020 Subgraph Neural Networks NeurIPS 2020 SubSpace Capsule Network AAAI 2020 SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain EMNLP 2020 SU-NLP at WNUT-2020 Task 2: The Ensemble Models EMNLP 2020 Supermasks in Superposition NeurIPS 2020 Superpixel Segmentation With Fully Convolutional Networks CVPR 2020 SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization ACL 2020 Supervised Adaptation of Sequence-to-Sequence Speech Recognition Systems using Batch-Weighting AACL 2020 Supervised and Unsupervised Learning of Parameterized Color Enhancement WACV 2020 Supervised Contrastive Learning NeurIPS 2020 Supervised Disambiguation of German Verbal Idioms with a BiLSTM Architecture ACL 2020 Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes CVPR 2020 SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020 SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows NeurIPS 2020 Suspicion-Free Adversarial Attacks on Clustering Algorithms AAAI 2020 Swapping Autoencoder for Deep Image Manipulation NeurIPS 2020 Swoosh! Rattle! Thump! - Actions that Sound RSS 2020 Symbiotic Attention with Privileged Information for Egocentric Action Recognition AAAI 2020 Symmetrical Synthesis for Deep Metric Learning AAAI 2020 Symmetry and Group in Attribute-Object Compositions CVPR 2020 SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification AAAI 2020 SynSin: End-to-End View Synthesis From a Single Image CVPR 2020 Syntactic Data Augmentation Increases Robustness to Inference Heuristics ACL 2020