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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)

TMU Japanese-English Multimodal Machine Translation System for WAT 2020 AACL 2020 TMU-NLP System Using BERT-based Pre-trained Model to the NLP-TEA CGED Shared Task 2020 AACL 2020 TMUOU Submission for WMT20 Quality Estimation Shared Task EMNLP 2020 TNT: Text Normalization based Pre-training of Transformers for Content Moderation EMNLP 2020 To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging EMNLP 2020 TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020 Tone Learning in Low-Resource Bilingual TTS Interspeech 2020 Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples NeurIPS 2020 To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks ACL 2020 Torch-Struct: Deep Structured Prediction Library ACL 2020 ToTTo: A Controlled Table-To-Text Generation Dataset EMNLP 2020 Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020 Toward a Universal Model for Shape From Texture CVPR 2020 Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models L4DC 2020 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments EMNLP 2020 Towards a Better Understanding of Label Smoothing in Neural Machine Translation AACL 2020 Towards Accurate Scene Text Recognition With Semantic Reasoning Networks CVPR 2020 Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes CVPR 2020 Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party Transcription Interspeech 2020 Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020 Towards an ASR Error Robust Spoken Language Understanding System Interspeech 2020 Towards Backward-Compatible Representation Learning CVPR 2020 Towards Better Context-aware Lexical Semantics:Adjusting Contextualized Representations through Static Anchors EMNLP 2020 Towards Better Forecasting by Fusing Near and Distant Future Visions AAAI 2020 Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet CVPR 2020