Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NeurIPS 2023 Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function ICLR 2023 Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference AAAI 2023 Isometric Manifold Learning Using Hierarchical Flow AAAI 2023 Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NeurIPS 2023 Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models EMNLP 2023 Isotropy-Enhanced Conditional Masked Language Models EMNLP 2023 Is Robustness Transferable across Languages in Multilingual Neural Machine Translation? EMNLP 2023 Iterative Document-level Information Extraction via Imitation Learning EACL 2023 Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections CVPR 2023 Iterative Proposal Refinement for Weakly-Supervised Video Grounding CVPR 2023 Itri Amigos at ArAIEval Shared Task: Transformer vs. Compression-Based Models for Persuasion Techniques and Disinformation Detection EMNLP 2023 It’s not Sexually Suggestive; It’s Educative | Separating Sex Education from Suggestive Content on TikTok videos ACL 2023 IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multi layer summarization of clinical conversations? ACL 2023 iVS-Net: Learning Human View Synthesis from Internet Videos ICCV 2023 IXA at SemEval-2023 Task 2: Baseline Xlm-Roberta-base Approach SemEval 2023 JacobiNeRF: NeRF Shaping With Mutual Information Gradients CVPR 2023 JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection Interspeech 2023 JCT at SemEval-2023 Tasks 12 A and 12B: Sentiment Analysis for Tweets Written in Low-resource African Languages using Various Machine Learning and Deep Learning Methods, Resampling, and HyperParameter Tuning SemEval 2023 Jedi: Entropy-Based Localization and Removal of Adversarial Patches CVPR 2023 John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification SemEval 2023 Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NeurIPS 2023 Joint Learning Feature and Model Adaptation for Unsupervised Acoustic Modelling of Child Speech Interspeech 2023 Jointly Learning Visual and Auditory Speech Representations from Raw Data ICLR 2023 Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023