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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)

Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media ACL 2022 Whodunit? Learning to Contrast for Authorship Attribution AACL 2022 Who Is Your Right Mixup Partner in Positive and Unlabeled Learning ICLR 2022 Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022 Why don’t people use character-level machine translation? ACL 2022 Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective NeurIPS 2022 Why Exposure Bias Matters: An Imitation Learning Perspective of Error Accumulation in Language Generation ACL 2022 Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality EMNLP 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NeurIPS 2022 Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022 WideResNet with Joint Representation Learning and Data Augmentation for Cover Song Identification Interspeech 2022 WildNet: Learning Domain Generalized Semantic Segmentation From the Wild CVPR 2022 WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models NeurIPS 2022 Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation EMNLP 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 Word Discovery in Visually Grounded, Self-Supervised Speech Models Interspeech 2022 Word-level Perturbation Considering Word Length and Compositional Subwords ACL 2022 Word Level Robustness Enhancement: Fight Perturbation with Perturbation AAAI 2022 Word Order Matters When You Increase Masking EMNLP 2022 Word Segmentation as Unsupervised Constituency Parsing ACL 2022 Word Segmentation by Separation Inference for East Asian Languages ACL 2022 Word Sense Disambiguation with Knowledge-Enhanced and Local Self-Attention-based Extractive Sense Comprehension COLING 2022 Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark NeurIPS 2022 XDBERT: Distilling Visual Information to BERT from Cross-Modal Systems to Improve Language Understanding ACL 2022