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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 Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding EMNLP 2021 The Fujitsu DMATH Submissions for WMT21 News Translation and Biomedical Translation Tasks EMNLP 2021 The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning NeurIPS 2021 The Global Banking Standards QA Dataset (GBS-QA) EMNLP 2021 The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation EMNLP 2021 The IICT-Yverdon System for the WMT 2021 Unsupervised MT and Very Low Resource Supervised MT Task EMNLP 2021 The Impact of Positional Encodings on Multilingual Compression EMNLP 2021 The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task EMNLP 2021 The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task EMNLP 2021 The LMU Munich Systems for the WMT21 Unsupervised and Very Low-Resource Translation Task EMNLP 2021 The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network AAAI 2021 The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models CVPR 2021 The Mininglamp Machine Translation System for WMT21 EMNLP 2021 The NiuTrans Machine Translation Systems for WMT21 EMNLP 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation AAAI 2021 There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge CVPR 2021 The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning NeurIPS 2021 The Spatially-Correlative Loss for Various Image Translation Tasks CVPR 2021 The SPECTRANS System Description for the WMT21 Terminology Task EMNLP 2021 The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders EMNLP 2021 The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement AAAI 2021 The Successful Ingredients of Policy Gradient Algorithms IJCAI 2021 The TALP-UPC Participation in WMT21 News Translation Task: an mBART-based NMT Approach EMNLP 2021 The TAL System for the INTERSPEECH2021 Shared Task on Automatic Speech Recognition for Non-Native Childrens Speech Interspeech 2021 The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth CVPR 2021