In this repo, as part of the CENG501 Deep Learning (Spring 2022) course, several papers at top venues that do not have any implementation are implemented and their results are reproduced. Each folder contains the implementation for one paper, with an accompanying report that summarizes the paper, discusses how the paper is implemented, reports the results and contrasts the results with those in the original paper. Not every project was successfully completed but many projects successfully reproduced the papers or provided results and insights that can be complementary to the original papers. Feel free to browse through the invididual folders (projects) with this in mind.
We hope that this will be an important contribution to those trying to implement or make use of these papers, and to encourage researchers to provide implementations for their papers or if this is not possible, to provide sufficient details in their papers for reproducibility.
| Paper | Implemented by | Implementation Link |
|---|---|---|
| Do et al., Clustering by maximizing mutual information across views, ICCV21. | Görkay Aydemir, Batuhan Bal | Project_Aydemir_Bal |
| Luo et al., Adaptive Knowledge Driven Regularization for Deep Neural Networks, AAAI21. | Ali İbrahim Özkan, Mert Atay | Project_Atay_Ozkan |
| Du et al., Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks, AAAI21. | Selim Kuzucu, Kıvanç Tezören | Project_Kuzucu_Tezoren |
| Fu et al., Deep Metric Learning with Self-Supervised Ranking, AAAI21. | Musa Selman Ergun, Onur Yılmaz | Project_Ergun_Yilmaz |
| Zhang et al., DualGraph: A graph-based method for reasoning about label noise, CVPR2021. | Osman Nuri IRKICATAL, Kadir TANRIVERDI | Project_Irkicatal_Tanriverdi |
| Weijia et al., Joint Semantic-Geometric Learning for Polygonal Building Segmentation, AAAI21. | Giray Ünlü, Muhammad Suleman | Project_Suleman_Unlu |
| Banerjee & Chakraborty, Deterministic Mini-batch Sequencing for Training Deep Neural Networks, AAAI21. | Umutcan Tatar | Project_Tatar |
| Yang et al., Self-supervised Graph Neural Networks via Diverse and Interactive Message Passing, AAAI 2022. | Onat Özdemir | Project_Ozdemir |
| Wang et al., Convolutional Neural Network Pruning with Structural Redundancy Reduction, CVPR 2021. | Mustafa Duymuş, Erce Güder | Project_Duymus_Guder |
| Wilson et al., DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events, AAAI22. | Ali Cem Çatal | Project_Catal |
| Ji et al., Frequency Consistent Adaptation for Real World Super Resolution, AAAI21. | Ali Baran Cengiz | Project_Cengiz |
| He et al., SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds, AAAI22. | Batuhan Tosyali, Furkan Bahceli | Project_Bahceli_Tosyali |
| Zhu er al., Efficient Model-Driven Network for Shadow Removal, AAAI22. | Onur Oydu, Onuralp Maçan | Project_Macan_Oydu |
| Farquhar et al., On Statistical Bias In Active Learning: How and When To Fix It, ICLR2021. | Cenk Gurbet, Berke Ateş Aytekin | Project_Aytekin_Gurbet |
| Liu et al., Dynamically Grown Generative Adversarial Networks, AAAI21. | Hasan Doğuş Eğri, Ege Uçak | Project_Egri_Ucak |
| Zongbo, et al., RRL: Regional Rotation Layer in Convolutional Neural Networks, AAAI22. | Kanan Mahammadli , Fatma Ceyda Gökçe | Project_Mahammadli_gokce |
| Renz & Rixen, SFSRNet: Super-resolution for single-channel Audio Source Separation, AAAI22. | Arda Numanoğlu, Süleyman Ateş | Project_Ates_Numanoglu |
| Aladago & Torresani, Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks, ICML2021. | Deniz Germen | Project_Germen |
| Gao, et al., High-Fidelity and Arbitrary Face Editing, CVPR2021. | Belemir Kürün, Arda Karaman | Project_Karaman_Kurun |
| Zaeemzadeh et al., Face Image Retrieval with Attribute Manipulation, ICCV2021. | Muhammed Yasin Ulaş, İbrahim Tarakcı | Project_Tarakci_Ulas |
| Huang et al., Initiative Defense against Facial Manipulation, AAAI 2021. | Ata Baran Fırat | Project_Firat |
| Feng et al., Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers, AAAI2022. | Özdemir Özkum | Project_Ozkum |
| Liu et al., Task Aligned Generative Meta-learning for Zero-shot Learning, AAAI21. | Mert Alp Taytak | Project_Taytak |
| Shanthamallu et al., Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks, AAAI2021. | Adnan Harun Dogan, Mert Ali Firat | Project_Dogan_Firat |
| Tran et al., SMG: A shuffling gradient-based method with momentum, ICML21. | Yiğit Varlı, Ömer Köse | Project_Kose_Varli |
| Cheng et al., Style-Aware Normalized Loss for Improving Arbitrary Style Transfer, CVPR2021. | Bora Kargı | Project_Kargi |
| Yang et al. Single-View 3D Object Reconstruction from Shape Priors in Memory, CVPR2021. | Mehmet Şahin | Project_Sahin |
| Ponghiran & Roy, Spiking Neural Networks with Improved Inherent Recurrence Dynamics for Sequential Learning, AAAI2022. | Gülfem Akpınar, Muratcan Ayık | Project_Akpinar_Ayik |
| Vasluianu & Gool, Shadow Removal with Paired and Unpaired Learning, CVPR2021. | Bartu Akyürek, Yusuf Soydan | Project_Akyurek_Soydan |
| Chen et al., Local Relation Learning for Face Forgery Detection, AAAI2021 | Fatma Ceyda Gökçe, Cansu Seyhan | Project_Gokce_Seyhan |
| Pal et al., Synthesize-It-Classifier: Learning a Generative Classifier through Recurrent Self-analysis, CVPR2021. | Onur ÖZKAN | Project_Ozkan |
| Jiang et al., Training Binary Neural Network without Batch Normalization for Image Super-Resolution, AAAI21. | Oğuz Gödelek, Gürcan Kavakçı | Project_Godelek_Kaavkci |
| Lienen & Hullermeier, From Label Smoothing to Label Relaxation, AAAI2021. | Sezer Mutlu, Tareq Rabaia | Project_Rabaia_Mutlu |
| Shugurov et al., OSOP: A Multi-Stage One Shot Object Pose Estimation Framework, CVPR2022. | Erhan Ege Keyvan, Umutcan Üstündaş | Project_Keyvan_Ustundas |
| Lu et al., A destination prediction algorithm using spatial temporal bidirectional LSTM networks, 2022. | Salih Salihoğlu | Project_Salihoglu |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent