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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)

AGORA: Avatars in Geography Optimized for Regression Analysis CVPR 2021 A Graph-Based Neural Model for End-to-End Frame Semantic Parsing EMNLP 2021 Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment AAAI 2021 Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models ICCV 2021 A Highly-Parameterized Ensemble to Play Gin Rummy AAAI 2021 A Hyperbolic-to-Hyperbolic Graph Convolutional Network CVPR 2021 A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding EMNLP 2021 A Large-Scale Chinese Multimodal NER Dataset with Speech Clues ACL 2021 A Large-Scale Study of Machine Translation in Turkic Languages EMNLP 2021 A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning CVPR 2021 AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate EMNLP 2021 Aligning Cross-lingual Sentence Representations with Dual Momentum Contrast EMNLP 2021 Aligning Pretraining for Detection via Object-Level Contrastive Learning NeurIPS 2021 A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets AISTATS 2021 ALL Dolphins Are Intelligent and SOME Are Friendly: Probing BERT for Nouns’ Semantic Properties and their Prototypicality EMNLP 2021 Allegro.eu Submission to WMT21 News Translation Task EMNLP 2021 AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021 AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021 Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation CVPR 2021 Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021 AM2iCo: Evaluating Word Meaning in Context across Low-Resource Languages with Adversarial Examples EMNLP 2021 Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 A Max-Min Entropy Framework for Reinforcement Learning NeurIPS 2021 A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract) AAAI 2021