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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Density-invariant Features for Distant Point Cloud Registration ICCV 2023 DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation ACL 2023 Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023 DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification ACL 2023 DePlot: One-shot visual language reasoning by plot-to-table translation ACL 2023 Depth Estimation From Camera Image and mmWave Radar Point Cloud CVPR 2023 Derandomized novelty detection with FDR control via conformal e-values NeurIPS 2023 DesCo: Learning Object Recognition with Rich Language Descriptions NeurIPS 2023 Described Object Detection: Liberating Object Detection with Flexible Expressions NeurIPS 2023 Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions EMNLP 2023 Description and Analysis of ABC Submission to NIST LRE 2022 Interspeech 2023 Descriptive Knowledge Graph in Biomedical Domain EMNLP 2023 Descriptive Prompt Paraphrasing for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 Designing Robust Transformers using Robust Kernel Density Estimation NeurIPS 2023 DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion AAAI 2023 DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection CVPR 2023 DETA: Denoised Task Adaptation for Few-Shot Learning ICCV 2023 DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment CVPR 2023 DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature ICML 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023 Detecting Adversarial Faces Using Only Real Face Self-Perturbations IJCAI 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Detecting and Grounding Multi-Modal Media Manipulation CVPR 2023 Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better ACL 2023