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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)

Inter-Region Affinity Distillation for Road Marking Segmentation CVPR 2020 Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding NeurIPS 2020 IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning CVPR 2020 Intra- and Inter-Action Understanding via Temporal Action Parsing CVPR 2020 Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks NeurIPS 2020 Intrinsic Probing through Dimension Selection EMNLP 2020 Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning EMNLP 2020 Invariant Representations through Adversarial Forgetting AAAI 2020 Inverse Learning of Symmetries NeurIPS 2020 Investigating Learning Dynamics of BERT Fine-Tuning AACL 2020 Investigating Low-resource Machine Translation for English-to-Tamil AACL 2020 Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization EMNLP 2020 Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions ACL 2020 Investigating Transferability in Pretrained Language Models EMNLP 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT EMNLP 2020 IR&TM-NJUST@CLSciSumm 20 EMNLP 2020 Is it Great or Terrible? Preserving Sentiment in Neural Machine Translation of Arabic Reviews COLING 2020 ISWARA at WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets using BERT and FastText Embeddings EMNLP 2020 Is Wikipedia succeeding in reducing gender bias? Assessing changes in gender bias in Wikipedia using word embeddings EMNLP 2020 iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020 Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA CVPR 2020 Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020 Iterative Domain-Repaired Back-Translation EMNLP 2020 Iterative energy-based projection on a normal data manifold for anomaly localization ICLR 2020