Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Diverse Imagenet Models Transfer Better WACV 2024 Diverse Person: Customize Your Own Dataset for Text-Based Person Search AAAI 2024 Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract) AAAI 2024 Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA EMNLP 2024 Divide and Conquer: Hybrid Pre-training for Person Search AAAI 2024 Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning EMNLP 2024 Divide and not forget: Ensemble of selectively trained experts in Continual Learning ICLR 2024 Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024 DLRG-DravidianLangTech@EACL2024 : Combating Hate Speech in Telugu Code-mixed Text on Social Media EACL 2024 DLUT and GTCOM’s Neural Machine Translation Systems for WMT24 EMNLP 2024 DM-BLI: Dynamic Multiple Subspaces Alignment for Unsupervised Bilingual Lexicon Induction ACL 2024 DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation AAAI 2024 DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection NeurIPS 2024 DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding EMNLP 2024 DocFormerv2: Local Features for Document Understanding AAAI 2024 DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models EMNLP 2024 DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations AAAI 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NeurIPS 2024 Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model EMNLP 2024 Document-Level Machine Translation with Large-Scale Public Parallel Corpora ACL 2024 Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better ACL 2024 Does Few-Shot Learning Suffer from Backdoor Attacks? AAAI 2024 Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024