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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)

Attacking CNNs in Histopathology with SNAP: Sporadic and Naturalistic Adversarial Patches (Student Abstract) AAAI 2024 Attacking Transformers with Feature Diversity Adversarial Perturbation AAAI 2024 Attack Named Entity Recognition by Entity Boundary Interference COLING 2024 Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions EMNLP 2024 Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models CVPR 2024 Attention-Based Models for Snow-Water Equivalent Prediction AAAI 2024 Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning ICLR 2024 Attention-Guided Prototype Mixing: Diversifying Minority Context on Imbalanced Whole Slide Images Classification Learning WACV 2024 Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification AAAI 2024 Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study WACV 2024 Attentive Merging of Hidden Embeddings from Pre-trained Speech Model for Anti-spoofing Detection Interspeech 2024 Attentive Prototypes for Source-Free Unsupervised Domain Adaptive 3D Object Detection WACV 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification EMNLP 2024 Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability CVPR 2024 Attribute-Missing Graph Clustering Network AAAI 2024 Attribute or Abstain: Large Language Models as Long Document Assistants EMNLP 2024 At Which Training Stage Does Code Data Help LLMs Reasoning? ICLR 2024 A Two-Agent Game for Zero-shot Relation Triplet Extraction ACL 2024 A Two-Stage Adaptation of Large Language Models for Text Ranking ACL 2024 A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification COLING 2024 A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification AAAI 2024 A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU COLING 2024 AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning ICLR 2024 AUC Maximization under Positive Distribution Shift NeurIPS 2024