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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)

Understanding Translationese in Cross-Lingual Summarization EMNLP 2023 Unfooling Perturbation-Based Post Hoc Explainers AAAI 2023 Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection CVPR 2023 UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language ACL 2023 UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration CVPR 2023 Unified Coarse-to-Fine Alignment for Video-Text Retrieval ICCV 2023 Unified Demonstration Retriever for In-Context Learning ACL 2023 Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation CVPR 2023 Unified Representation for Non-compositional and Compositional Expressions EMNLP 2023 Unified Segment-to-Segment Framework for Simultaneous Sequence Generation NeurIPS 2023 UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding ACL 2023 Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation AAAI 2023 Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training ACL 2023 Unifying Text, Tables, and Images for Multimodal Question Answering EMNLP 2023 Unifying Vision-Language Representation Space with Single-Tower Transformer AAAI 2023 UniLG: A Unified Structure-aware Framework for Lyrics Generation ACL 2023 UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization ACL 2023 Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models CVPR 2023 UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation ACL 2023 UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition NeurIPS 2023 UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data Interspeech 2023 Universal Information Extraction as Unified Semantic Matching AAAI 2023 Universal Information Extraction with Meta-Pretrained Self-Retrieval ACL 2023 Universal Instance Perception As Object Discovery and Retrieval CVPR 2023 Unleashing the Power of High-pass Filtering in Continuous Graph Neural Networks ACML 2023