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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 Self-explaining Neural Architecture for Generalizable Concept Learning IJCAI 2024 A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation IJCAI 2024 A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint CVPR 2024 A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024 AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction NeurIPS 2024 ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings EMNLP 2024 ASGIR: audio spectrogram transformer guided classification and information retrieval for birds Interspeech 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way Parallelism ACL 2024 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 A Simple and Yet Fairly Effective Defense for Graph Neural Networks AAAI 2024 A Simple Angle-based Approach for Contrastive Learning of Unsupervised Sentence Representation EMNLP 2024 A Simple Image Segmentation Framework via In-Context Examples NeurIPS 2024 A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames CVPR 2024 A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective NeurIPS 2024 Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment ACL 2024 Ask, Assess, and Refine: Rectifying Factual Consistency and Hallucination in LLMs with Metric-Guided Feedback Learning EACL 2024 Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models NeurIPS 2024 Asking More Informative Questions for Grounded Retrieval NAACL 2024 Asking the Right Question at the Right Time: Human and Model Uncertainty Guidance to Ask Clarification Questions EACL 2024 ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles EMNLP 2024 Aspect-based Key Point Analysis for Quantitative Summarization of Reviews EACL 2024 Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses EACL 2024 Assessing Generalization for Subpopulation Representative Modeling via In-Context Learning EACL 2024 Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024