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DropoutNet
Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"dgm-eval
Codebase for evaluation of deep generative models as presented in Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion modelsxpool
https://layer6ai-labs.github.io/xpool/T-Fixup
Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"RecSys2018
1'st Place Approach by Layer6 AI to the 2018 ACM RecSys ChallengeGSS
Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"ProxyFL
Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"HGCF
Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"fusemix
Data-Efficient Multimodal Fusion on a Single GPUSGG-Seq2Seq
Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"EGT
Code for the CVPR'19 paper "Explore-Exploit Graph Traversal for Image Retrieval"ASL
Code for CVPR'21 paper "Weakly Supervised Action Selection Learning in Video"WinIT
Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"DuETT
Code for "DuETT: Dual Event Time Transformer for Electronic Health Records"TAFA
Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"CMLMC
Code for the ICLR'22 paper "Improving Non-Autoregressive Translation Models Without Distillation"tr0n
MCL
Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"fair-dp
Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".lfr
Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectorstwo_step_zoo
Codebase accompanying the paper "Diagnosing and Fixing Manifold Overfitting in Deep Generative Models"CNNEmbed
rectangular-flows
Code for the NeurIPS'21 paper "Rectangular Flows for Manifold Learning"UoMH
CEF
Code for the NeurIPS'21 paper "Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows"semi-supervised-egt
Code for CVPR'19 paper Semi-Supervised Exploration for Image RetrievalBNPO
hitl-conformal-prediction
Human in the Loop Conformal Predictionssl-robustness
Codebase for benchmarking robustness of Self-Supervised Learning across diverse downstream tasksmsc-sql
Text-2-SQLCAE
Code for the ICLR'21 paper "C-Learning: Horizon-Aware Cumulative Accessibility Estimation"hgnn-dr
denoising_dgms
dgm_ood_detection
Code for the paper "A Geometric Explanation of the Likelihood OOD Detection Paradox"Tabular-Class-Conditioned-SSL
dgm_geometry
dp-cert
A framework for providing certified robustness guarantees with differentially private modelscalo-forest
A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.DropoutNet-Data
data for DropoutNetdgm_manifold_survey
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