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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)

Investigating Compositional Challenges in Vision-Language Models for Visual Grounding CVPR 2024 Investigating Confidence Estimation Measures for Speaker Diarization Interspeech 2024 Investigating Cultural Alignment of Large Language Models ACL 2024 Investigating Gender Bias in STEM Job Advertisements ACL 2024 Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024 EMNLP 2024 Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions? EMNLP 2024 Investigating Mysteries of CoT-Augmented Distillation EMNLP 2024 Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning ICML 2024 Investigating radicalisation indicators in online extremist communities NAACL 2024 Investigating self-supervised speech models' ability to classify animal vocalizations: The case of gibbon's vocal signatures Interspeech 2024 Investigating the Benefits of Projection Head for Representation Learning ICLR 2024 Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality Interspeech 2024 Investigating the Emergent Audio Classification Ability of ASR Foundation Models NAACL 2024 Investigating the Impact of Model Width and Density on Generalization in Presence of Label Noise UAI 2024 Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study COLING 2024 Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection WACV 2024 Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks EMNLP 2024 Investigating Wit, Creativity, and Detectability of Large Language Models in Domain-Specific Writing Style Adaptation of Reddit’s Showerthoughts NAACL 2024 Investigation of Layer-Wise Speech Representations in Self-Supervised Learning Models: A Cross-Lingual Study in Detecting Depression Interspeech 2024 Invisible Backdoor Attack against 3D Point Cloud Classifier in Graph Spectral Domain AAAI 2024 IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples AAAI 2024 IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics ICML 2024 I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives AAAI 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024 IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking AAAI 2024