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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)

What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? ICML 2020 What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images CVPR 2020 What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020 What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020 What's Hidden in a Randomly Weighted Neural Network? CVPR 2020 What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models EMNLP 2020 When AWGN-Based Denoiser Meets Real Noises AAAI 2020 When Do GNNs Work: Understanding and Improving Neighborhood Aggregation IJCAI 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 When to Use Convolutional Neural Networks for Inverse Problems CVPR 2020 Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences CVPR 2020 Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation AAAI 2020 Which *BERT? A Survey Organizing Contextualized Encoders EMNLP 2020 Whisper Augmented End-to-End/Hybrid Speech Recognition System — CycleGAN Approach Interspeech 2020 Why and when should you pool? Analyzing Pooling in Recurrent Architectures EMNLP 2020 Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision EMNLP 2020 Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries ACL 2020 Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers EMNLP 2020 Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements EMNLP 2020 Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia EMNLP 2020 Will it Unblend? EMNLP 2020 Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets EMNLP 2020 Winning the Lottery with Continuous Sparsification NeurIPS 2020 WinoGrande: An Adversarial Winograd Schema Challenge at Scale AAAI 2020 WISE: Word-Level Interaction-Based Multimodal Fusion for Speech Emotion Recognition Interspeech 2020