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

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Difficulty-Based Sampling for Debiased Contrastive Representation Learning CVPR 2023 DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation NeurIPS 2023 DiffMimic: Efficient Motion Mimicking with Differentiable Physics ICLR 2023 DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion ICLR 2023 DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation CVPR 2023 DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models ICLR 2023 DiffusER: Diffusion via Edit-based Reconstruction ICLR 2023 Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR 2023 Diffusion Based Representation Learning ICML 2023 Diffusion Generative Models in Infinite Dimensions AISTATS 2023 Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence NeurIPS 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels NeurIPS 2023 Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding CVPR 2023 DiffuSum: Generation Enhanced Extractive Summarization with Diffusion ACL 2023 DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics NeurIPS 2023 DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation CVPR 2023 DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection CVPR 2023 Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering ACL 2023 DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships ACL 2023 DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation ACL 2023 DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video AAAI 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling CVPR 2023 DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction NeurIPS 2023 DIP: Dead code Insertion based Black-box Attack for Programming Language Model ACL 2023