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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)

SurFree: A Fast Surrogate-Free Black-Box Attack CVPR 2021 Surrogate Gradient Field for Latent Space Manipulation CVPR 2021 SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events CVPR 2021 SWAD: Domain Generalization by Seeking Flat Minima NeurIPS 2021 Synchronous Syntactic Attention for Transformer Neural Machine Translation ACL 2021 SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized With Semantic Segmentation for Autonomous Driving WACV 2021 Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation EMNLP 2021 Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models ACL 2021 Syntax-augmented Multilingual BERT for Cross-lingual Transfer ACL 2021 SynthASR: Unlocking Synthetic Data for Speech Recognition Interspeech 2021 Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering EMNLP 2021 System description for ProfNER - SMMH: Optimized finetuning of a pretrained transformer and word vectors NAACL 2021 T2NER: Transformers based Transfer Learning Framework for Named Entity Recognition EACL 2021 T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval CVPR 2021 T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP EMNLP 2021 Table-based Fact Verification With Salience-aware Learning EMNLP 2021 TabNet: Attentive Interpretable Tabular Learning AAAI 2021 Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation CVPR 2021 TACo: Token-Aware Cascade Contrastive Learning for Video-Text Alignment ICCV 2021 TADPOLE: Task ADapted Pre-Training via AnOmaLy DEtection EMNLP 2021 TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021 Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021 TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis AAAI 2021 Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation ACL 2021 TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption CVPR 2021