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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)

Exploring Model Consensus to Generate Translation Paraphrases ACL 2020 Exploring Neural Entity Representations for Semantic Information EMNLP 2020 Exploring Text and Audio Embeddings for Multi-Dimension Elderly Emotion Recognition Interspeech 2020 Exploring Text Specific and Blackbox Fairness Algorithms in Multimodal Clinical NLP EMNLP 2020 Exploring the Boundaries of Low-Resource BERT Distillation EMNLP 2020 Exploring the Linear Subspace Hypothesis in Gender Bias Mitigation EMNLP 2020 Exploring Unlabeled Faces for Novel Attribute Discovery CVPR 2020 Exploring Weaknesses of VQA Models through Attribution Driven Insights ACL 2020 Expressing Objects Just Like Words: Recurrent Visual Embedding for Image-Text Matching AAAI 2020 Extending Multilingual BERT to Low-Resource Languages EMNLP 2020 Extensive Error Analysis and a Learning-Based Evaluation of Medical Entity Recognition Systems to Approximate User Experience ACL 2020 Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training EMNLP 2020 Extracting Relations between Radiotherapy Treatment Details EMNLP 2020 Extractive Summarization as Text Matching ACL 2020 Extremely Dense Point Correspondences Using a Learned Feature Descriptor CVPR 2020 EyeGAN: Gaze-Preserving, Mask-Mediated Eye Image Synthesis WACV 2020 Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax EMNLP 2020 F³Net: Fusion, Feedback and Focus for Salient Object Detection AAAI 2020 Face2Speech: Towards Multi-Speaker Text-to-Speech Synthesis Using an Embedding Vector Predicted from a Face Image Interspeech 2020 Facebook AI’s WMT20 News Translation Task Submission EMNLP 2020 FaceFilter: Audio-Visual Speech Separation Using Still Images Interspeech 2020 FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction CVPR 2020 Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training AAAI 2020 Fact-based Text Editing ACL 2020 Fair Embedding Engine: A Library for Analyzing and Mitigating Gender Bias in Word Embeddings EMNLP 2020