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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)

Journalistic Guidelines Aware News Image Captioning EMNLP 2021 jurBERT: A Romanian BERT Model for Legal Judgement Prediction EMNLP 2021 JuriBERT: A Masked-Language Model Adaptation for French Legal Text EMNLP 2021 KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference ACL 2021 Kakao Enterprise’s WMT21 Machine Translation Using Terminologies Task Submission EMNLP 2021 Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain CVPR 2021 KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation IJCAI 2021 KeepAugment: A Simple Information-Preserving Data Augmentation Approach CVPR 2021 Keep CALM and Improve Visual Feature Attribution ICCV 2021 Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection CVPR 2021 KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification AAAI 2021 Kernel-convoluted Deep Neural Networks with Data Augmentation AAAI 2021 Keynote Abstract: Events on a Global Scale: Towards Language-Agnostic Event Extraction ACL 2021 Keyphrase Extraction with Incomplete Annotated Training Data EMNLP 2021 Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning EMNLP 2021 Key Point Analysis via Contrastive Learning and Extractive Argument Summarization EMNLP 2021 KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control CVPR 2021 Keypoint-Graph-Driven Learning Framework for Object Pose Estimation CVPR 2021 “Killing Me” Is Not a Spoiler: Spoiler Detection Model using Graph Neural Networks with Dependency Relation-Aware Attention Mechanism EACL 2021 KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation ACL 2021 k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks IJCAI 2021 Knodle: Modular Weakly Supervised Learning with PyTorch ACL 2021 Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction EMNLP 2021 Knowledge-Adaptation Priors NeurIPS 2021 Knowledge Distillation with Noisy Labels for Natural Language Understanding EMNLP 2021