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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)

The OSU/Facebook Realizer for SRST 2019: Seq2Seq Inflection and Serialized Tree2Tree Linearization EMNLP 2019 The Point Where Reality Meets Fantasy: Mixed Adversarial Generators for Image Splice Detection NeurIPS 2019 The Pros and Cons: Rank-Aware Temporal Attention for Skill Determination in Long Videos CVPR 2019 The relativistic discriminator: a key element missing from standard GAN ICLR 2019 The Role of Pragmatic and Discourse Context in Determining Argument Impact EMNLP 2019 The Role of Protected Class Word Lists in Bias Identification of Contextualized Word Representations ACL 2019 The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection ACL 2019 The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation ACL 2019 The Universitat d’Alacant Submissions to the English-to-Kazakh News Translation Task at WMT 2019 ACL 2019 The University of Edinburgh’s Submissions to the WMT19 News Translation Task ACL 2019 The University of Helsinki Submissions to the WMT19 Similar Language Translation Task ACL 2019 The University of Maryland’s Kazakh-English Neural Machine Translation System at WMT19 ACL 2019 The University of Sydney’s Machine Translation System for WMT19 ACL 2019 Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting NeurIPS 2019 This Looks Like That: Deep Learning for Interpretable Image Recognition NeurIPS 2019 THOMAS: The Hegemonic OSU Morphological Analyzer using Seq2seq ACL 2019 Tilde’s Machine Translation Systems for WMT 2019 ACL 2019 Tile2Vec: Unsupervised Representation Learning for Spatially Distributed Data AAAI 2019 Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals NeurIPS 2019 Time-Conditioned Action Anticipation in One Shot CVPR 2019 Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings ACL 2019 Time-series Generative Adversarial Networks NeurIPS 2019 TLR at BSNLP2019: A Multilingual Named Entity Recognition System ACL 2019 Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019 Topics to Avoid: Demoting Latent Confounds in Text Classification EMNLP 2019