Skip to content
conftrace_

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

CoCoHD: Congress Committee Hearing Dataset EMNLP 2024 CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds EMNLP 2024 Co-Creational Teaching of Natural Language Processing ACL 2024 CoD: Coherent Detection of Entities From Images With Multiple Modalities WACV 2024 CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges ACL 2024 CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules ICLR 2024 CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models NeurIPS 2024 CodeFort: Robust Training for Code Generation Models EMNLP 2024 CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay ICML 2024 CodeJudge: Evaluating Code Generation with Large Language Models EMNLP 2024 Code_Makers@DravidianLangTech-EACL 2024 : Sentiment Analysis in Code-Mixed Tamil using Machine Learning Techniques EACL 2024 Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs EMNLP 2024 CODE REPRESENTATION LEARNING AT SCALE ICLR 2024 CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation EMNLP 2024 Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret AAAI 2024 Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning NeurIPS 2024 Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code EMNLP 2024 CoGen: Learning from Feedback with Coupled Comprehension and Generation EMNLP 2024 CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models EMNLP 2024 Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking NAACL 2024 Coherent Temporal Synthesis for Incremental Action Segmentation CVPR 2024 CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NeurIPS 2024 CoLAL: Co-learning Active Learning for Text Classification AAAI 2024 ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation NeurIPS 2024 Collaboration! Towards Robust Neural Methods for Routing Problems NeurIPS 2024