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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)

An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making EMNLP 2024 An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements ACL 2024 An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding IJCAI 2024 An Empirical Analysis on Large Language Models in Debate Evaluation ACL 2024 An Empirical Investigation Into Benchmarking Model Multiplicity for Trustworthy Machine Learning: A Case Study on Image Classification WACV 2024 An Empirical Study of CLIP for Text-Based Person Search AAAI 2024 An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation NAACL 2024 An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024 An Empirical Study of Multilingual Reasoning Distillation for Question Answering EMNLP 2024 An Empirical Study of Scaling Law for Scene Text Recognition CVPR 2024 An engine not a camera: Measuring performative power of online search NeurIPS 2024 An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction ACL 2024 An Entropy-based Text Watermarking Detection Method ACL 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 A Neuro-Symbolic Approach to Monitoring Salt Content in Food COLING 2024 An Evaluation Mechanism of LLM-based Agents on Manipulating APIs EMNLP 2024 A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks EMNLP 2024 A new machine-actionable corpus for ancient text restoration ACL 2024 A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning AAAI 2024 A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection NeurIPS 2024 A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning NeurIPS 2024 An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024 An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching NeurIPS 2024 ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection ACL 2024 An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models ICLR 2024