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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)

Semi-Supervised Video Inpainting With Cycle Consistency Constraints CVPR 2023 Semi-transductive Learning for Generalized Zero-Shot Sketch-Based Image Retrieval AAAI 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation AAAI 2023 Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding Interspeech 2023 Sentence Ordering with a Coherence Verifier ACL 2023 Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media ACL 2023 Sentiment Knowledge Enhanced Self-supervised Learning for Multimodal Sentiment Analysis ACL 2023 SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence CVPR 2023 Separating Context and Pattern: Learning Disentangled Sentence Representations for Low-Resource Extractive Summarization ACL 2023 SEPT: Towards Scalable and Efficient Visual Pre-training AAAI 2023 Sequence Generation with Label Augmentation for Relation Extraction AAAI 2023 Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding Interspeech 2023 Sequence-to-Sequence Multi-Modal Speech In-Painting Interspeech 2023 Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances CVPR 2023 SeqXGPT: Sentence-Level AI-Generated Text Detection EMNLP 2023 Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction ACL 2023 SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes ACL 2023 SGP-TOD: Building Task Bots Effortlessly via Schema-Guided LLM Prompting EMNLP 2023 ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal CVPR 2023 ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision CVPR 2023 ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations CVPR 2023 Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples NeurIPS 2023 Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning CVPR 2023 Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023 Should We Learn Most Likely Functions or Parameters? NeurIPS 2023