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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)

CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference NeurIPS 2024 CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading EMNLP 2024 CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen AAAI 2024 CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages EMNLP 2024 CTC-aligned Audio-Text Embedding for Streaming Open-vocabulary Keyword Spotting Interspeech 2024 CTC-based Non-autoregressive Textless Speech-to-Speech Translation ACL 2024 CTSM: Combining Trait and State Emotions for Empathetic Response Model COLING 2024 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 CUET_Binary_Hackers at ClimateActivism 2024: A Comprehensive Evaluation and Superior Performance of Transformer-Based Models in Hate Speech Event Detection and Stance Classification for Climate Activism EACL 2024 CUET_Binary_Hackers@DravidianLangTech EACL2024: Fake News Detection in Malayalam Language Leveraging Fine-tuned MuRIL BERT EACL 2024 CUET_Binary_Hackers@DravidianLangTech-EACL 2024: Sentiment Analysis using Transformer-Based Models in Code-Mixed and Transliterated Tamil and Tulu EACL 2024 CUET_DUO@DravidianLangTech EACL2024: Fake News Classification Using Malayalam-BERT EACL 2024 CUET_NLP_GoodFellows@DravidianLangTech EACL2024: A Transformer-Based Approach for Detecting Fake News in Dravidian Languages EACL 2024 CUET_NLP_Manning@LT-EDI 2024: Transformer-based Approach on Caste and Migration Hate Speech Detection EACL 2024 CUETSentimentSillies@DravidianLangTech-EACL2024: Transformer-based Approach for Sentiment Analysis in Tamil and Tulu Code-Mixed Texts EACL 2024 CultureLLM: Incorporating Cultural Differences into Large Language Models NeurIPS 2024 CulturePark: Boosting Cross-cultural Understanding in Large Language Models NeurIPS 2024 Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow AAAI 2024 CUNI and LMU Submission to the MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval EMNLP 2024 CURE: Context- and Uncertainty-Aware Mental Disorder Detection EMNLP 2024 Curiosity-driven Red-teaming for Large Language Models ICLR 2024 Curriculum Consistency Learning for Conditional Sentence Generation EMNLP 2024 Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise NeurIPS 2024 Curriculum Masking in Vision-Language Pretraining to Maximize Cross Modal Interaction NAACL 2024 Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation CVPR 2024