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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)

URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement CVPR 2022 USB: A Unified Semi-supervised Learning Benchmark for Classification NeurIPS 2022 Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework CVPR 2022 UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis NAACL 2022 Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings ACL 2022 Using Contextual Sentence Analysis Models to Recognize ESG Concepts EMNLP 2022 Using cross-model learnings for the Gram Vaani ASR Challenge 2022 Interspeech 2022 Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC EMNLP 2022 Using Graph-Aware Reinforcement Learning to Identify Winning Strategies in Diplomacy Games (Student Abstract) AAAI 2022 Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NeurIPS 2022 Using neural topic models to track context shifts of words: a case study of COVID-related terms before and after the lockdown in April 2020 ACL 2022 Using Transformer-based Models for Taxonomy Enrichment and Sentence Classification EMNLP 2022 Using Two Losses and Two Datasets Simultaneously to Improve TempoWiC Accuracy EMNLP 2022 UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog CVPR 2022 Utilizing Cross-Modal Contrastive Learning to Improve Item Categorization BERT Model ACL 2022 Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset EMNLP 2022 V2C: Visual Voice Cloning CVPR 2022 Vaccinating SER to Neutralize Adversarial Attacks with Self-Supervised Augmentation Strategy Interspeech 2022 ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language Model NAACL 2022 VALHALLA: Visual Hallucination for Machine Translation CVPR 2022 Validity Assessment of Legal Will Statements as Natural Language Inference EMNLP 2022 ValueNet: A New Dataset for Human Value Driven Dialogue System AAAI 2022 Variable-rate hierarchical CPC leads to acoustic unit discovery in speech NeurIPS 2022 Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022 Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation EMNLP 2022