• Stars
    star
    1
  • Language
  • Created 11 months ago
  • Updated 11 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

data for DropoutNet

More Repositories

1

DropoutNet

Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
Python
172
star
2

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 models
Jupyter Notebook
117
star
3

xpool

https://layer6ai-labs.github.io/xpool/
Python
112
star
4

T-Fixup

Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
Python
89
star
5

RecSys2018

1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
Java
84
star
6

GSS

Code for the NeurIPS'19 paper "Guided Similarity Separation for Image Retrieval"
Python
64
star
7

ProxyFL

Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"
Python
63
star
8

HGCF

Code for the WWW'21 paper "HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering"
Python
49
star
9

fusemix

Data-Efficient Multimodal Fusion on a Single GPU
Python
47
star
10

SGG-Seq2Seq

Code for the ICCV'21 paper "Context-aware Scene Graph Generation with Seq2Seq Transformers"
Python
44
star
11

EGT

Code for the CVPR'19 paper "Explore-Exploit Graph Traversal for Image Retrieval"
Java
31
star
12

ASL

Code for CVPR'21 paper "Weakly Supervised Action Selection Learning in Video"
Python
22
star
13

WinIT

Code for the ICLR'23 paper "Temporal Dependencies in Feature Importance for Time Series Prediction"
Jupyter Notebook
19
star
14

DuETT

Code for "DuETT: Dual Event Time Transformer for Electronic Health Records"
Python
19
star
15

TAFA

Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"
Python
19
star
16

CMLMC

Code for the ICLR'22 paper "Improving Non-Autoregressive Translation Models Without Distillation"
Python
17
star
17

tr0n

Python
14
star
18

MCL

Code for the WWW'22 paper "MCL: Mixed-Centric Loss for Collaborative Filtering"
Python
11
star
19

fair-dp

Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".
Python
10
star
20

lfr

Code for the ICLR'24 paper "Self-supervised Representation Learning From Random Data Projectors
Python
9
star
21

two_step_zoo

Codebase accompanying the paper "Diagnosing and Fixing Manifold Overfitting in Deep Generative Models"
Jupyter Notebook
8
star
22

CNNEmbed

Python
7
star
23

rectangular-flows

Code for the NeurIPS'21 paper "Rectangular Flows for Manifold Learning"
Python
7
star
24

UoMH

Python
7
star
25

CEF

Code for the NeurIPS'21 paper "Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows"
Python
6
star
26

semi-supervised-egt

Code for CVPR'19 paper Semi-Supervised Exploration for Image Retrieval
Python
6
star
27

BNPO

Python
5
star
28

hitl-conformal-prediction

Human in the Loop Conformal Prediction
Python
5
star
29

ssl-robustness

Codebase for benchmarking robustness of Self-Supervised Learning across diverse downstream tasks
Python
4
star
30

implicit-manifolds

Jupyter Notebook
4
star
31

msc-sql

Text-2-SQL
3
star
32

CAE

Code for the ICLR'21 paper "C-Learning: Horizon-Aware Cumulative Accessibility Estimation"
Python
3
star
33

hgnn-dr

Python
2
star
34

denoising_dgms

Python
2
star
35

dgm_ood_detection

Code for the paper "A Geometric Explanation of the Likelihood OOD Detection Paradox"
Jupyter Notebook
2
star
36

Tabular-Class-Conditioned-SSL

Jupyter Notebook
2
star
37

dgm_geometry

Jupyter Notebook
1
star
38

dp-cert

A framework for providing certified robustness guarantees with differentially private models
Jupyter Notebook
1
star
39

calo-forest

A scalable implementation of diffusion and flow-matching with XGBoost models, applied to calorimeter data.
Python
1
star
40

dgm_manifold_survey

1
star