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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)

On the Robustness of Language Encoders against Grammatical Errors ACL 2020 On the role of effective and referring questions in GuessWhat?! ACL 2020 On the Same Page? Comparing Inter-Annotator Agreement in Sentence and Document Level Human Machine Translation Evaluation EMNLP 2020 On the Sentence Embeddings from Pre-trained Language Models EMNLP 2020 On the Spontaneous Emergence of Discrete and Compositional Signals ACL 2020 On the Sub-layer Functionalities of Transformer Decoder EMNLP 2020 On the Trade-off between Adversarial and Backdoor Robustness NeurIPS 2020 On the Uncertainty of Self-Supervised Monocular Depth Estimation CVPR 2020 On Warm-Starting Neural Network Training NeurIPS 2020 Oops! Predicting Unintentional Action in Video CVPR 2020 Open Compound Domain Adaptation CVPR 2020 Open Domain Event Text Generation AAAI 2020 Open-Domain Question Answering ACL 2020 Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation EMNLP 2020 OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction EMNLP 2020 Opportunistic Decoding with Timely Correction for Simultaneous Translation ACL 2020 OPPO’s Machine Translation System for the IWSLT 2020 Open Domain Translation Task ACL 2020 Optical Flow in Deep Visual Tracking AAAI 2020 Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning CVPR 2020 Optical Flow in the Dark CVPR 2020 Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation CVPR 2020 Optimal Exploration Algorithm of Multi-Agent Reinforcement Learning Methods (Student Abstract) AAAI 2020 Optimal Feature Transport for Cross-View Image Geo-Localization AAAI 2020 Optimization Learning: Perspective, Method, and Applications IJCAI 2020 Optimizing Through Learned Errors for Accurate Sports Field Registration WACV 2020