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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 Multitask Learning for Low-Resource Abstractive Summarization EMNLP 2021 Exploring Non-Autoregressive Text Style Transfer EMNLP 2021 Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution EMNLP 2021 Exploring Simple Siamese Representation Learning CVPR 2021 Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models EMNLP 2021 Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis ACL 2021 Exploring the Role of BERT Token Representations to Explain Sentence Probing Results EMNLP 2021 Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption AAAI 2021 Exploring Transfer Learning For End-to-End Spoken Language Understanding AAAI 2021 Exploring wav2vec 2.0 on Speaker Verification and Language Identification Interspeech 2021 Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning CVPR 2021 Extend, don’t rebuild: Phrasing conditional graph modification as autoregressive sequence labelling EMNLP 2021 Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications AAAI 2021 Extending Neural P-Frame Codecs for B-Frame Coding ICCV 2021 Extending Policy Shaping to Continuous State Spaces (Student Abstract) AAAI 2021 Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation EMNLP 2021 Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts EMNLP 2021 Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model CVPR 2021 F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation AAAI 2021 FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information EMNLP 2021 Face Forensics in the Wild CVPR 2021 FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains CVPR 2021 Factorising Meaning and Form for Intent-Preserving Paraphrasing ACL 2021 FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation CVPR 2021 Fair Feature Distillation for Visual Recognition CVPR 2021