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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)

An Efficient Adversarial Attack for Tree Ensembles NeurIPS 2020 An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020 A negative case analysis of visual grounding methods for VQA ACL 2020 An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition EMNLP 2020 An Empirical Exploration of Local Ordering Pre-training for Structured Prediction EMNLP 2020 An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training EMNLP 2020 An Empirical Study of Multi-Task Learning on BERT for Biomedical Text Mining ACL 2020 An Empirical Study of Pre-trained Transformers for Arabic Information Extraction EMNLP 2020 An End-to-End Edge Aggregation Network for Moving Object Segmentation CVPR 2020 An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling Interspeech 2020 An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos AAAI 2020 A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories AAAI 2020 A New Representation Learning Method for Individual Treatment Effect Estimation: Split Covariate Representation Network ACML 2020 An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference Networks EMNLP 2020 An information theoretic view on selecting linguistic probes EMNLP 2020 An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies AAAI 2020 An Investigation Into the Stochasticity of Batch Whitening CVPR 2020 An Investigation of Potential Function Designs for Neural CRF EMNLP 2020 An Iterative Approach for Identifying Complaint Based Tweets in Social Media Platforms (Student Abstract) AAAI 2020 An Iterative Knowledge Transfer NMT System for WMT20 News Translation Task EMNLP 2020 A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation ACL 2020 A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020 Answer Span Correction in Machine Reading Comprehension EMNLP 2020 An Unsupervised Information-Theoretic Perceptual Quality Metric NeurIPS 2020 An Unsupervised Sentence Embedding Method by Mutual Information Maximization EMNLP 2020