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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)

SRIB-NMT’s Submission to the Indic MT Shared Task in WMT 2024 EMNLP 2024 SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling CVPR 2024 SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification ICML 2024 SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning ECCV 2024 SSN-Nova@LT-EDI 2024: Leveraging Vectorisation Techniques in an Ensemble Approach for Stress Identification in Low-Resource Languages EACL 2024 SSN-Nova@LT-EDI 2024: POS Tagging, Boosting Techniques and Voting Classifiers for Caste And Migration Hate Speech Detection EACL 2024 SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models EMNLP 2024 SSVOD: Semi-Supervised Video Object Detection With Sparse Annotations WACV 2024 Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions AAAI 2024 Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation NeurIPS 2024 Stability in Online Coalition Formation AAAI 2024 Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos AAAI 2024 Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective NeurIPS 2024 Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data ICLR 2024 Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling NeurIPS 2024 Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks NeurIPS 2024 Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation CVPR 2024 StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation EMNLP 2024 Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise AAAI 2024 StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On CVPR 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 Stage Direction Classification in French Theater: Transfer Learning Experiments EACL 2024 STAGE: Simple Text Data Augmentation by Graph Exploration COLING 2024 Stanceosaurus 2.0 - Classifying Stance Towards Russian and Spanish Misinformation EACL 2024 STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models ACL 2024