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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)

A Virtual Driving Instructor That Generates Personalized Driving Lessons Based on Student Skill Level AAAI 2024 A Vision Check-up for Language Models CVPR 2024 A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis EACL 2024 A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models AISTATS 2024 A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily NAACL 2024 AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation NeurIPS 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model ACL 2024 Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations ACL 2024 BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling CoNLL 2024 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations AAAI 2024 BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment NeurIPS 2024 Backdoor Attacks via Machine Unlearning AAAI 2024 Backdoor Contrastive Learning via Bi-level Trigger Optimization ICLR 2024 Backdoor Defense via Test-Time Detecting and Repairing CVPR 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 2024 Backdoor NLP Models via AI-Generated Text COLING 2024 Backpropagation-free Network for 3D Test-time Adaptation CVPR 2024 BackTime: Backdoor Attacks on Multivariate Time Series Forecasting NeurIPS 2024 Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features CVPR 2024 Back to Optimization: Diffusion-Based Zero-Shot 3D Human Pose Estimation WACV 2024 Back to School: Translation Using Grammar Books EMNLP 2024 BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning AAAI 2024 BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents ACL 2024 BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models NeurIPS 2024