CENG502 Spring2023

In this repo, as part of the CENG502 Advanced Deep Learning (Spring 2023) 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.

Implemented Papers

Paper	Implemented by (Sorted by Surname)	Implementation Link
Min et al., "Deep Radial Embedding for Visual Sequence Learning", ECCV 2022	Gülfem Akpınar	Akpinar
Alwani et al., "DECORE: Deep Compression with Reinforcement Learning", CVPR 2022	Mahmoud Alasmar	Alasmar
Zhang et al., "Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy", CVPR 2022	Ateş Aytekin, Erce Güder	AytekinGuder
Xie et al., "MARINA: An MLP-Attention Model for Multivariate Time-Series Analysis", CIKM 2022	Furkan Bahçeli, Batuhan Tosyalı	BahceliTosyali
Wang et al., "Adaptive Agent Transformer for Few-Shot Segmentation", ECCV 2022	Bartu Akyürek, Yusuf Soydan	AkyurekSoydan
Ene & Nguyen, "Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints", ICML 2022	Mehmet Barutçu	Barutcu
Yi et al., "Adaptive Trajectory Prediction via Transferable GNN", CVPR 2022	Halil Çağrı Bilgi	Bilgi
Sandler et al., "Fine-tuning Image Transformers using Learnable Memory", CVPR 2022.	Ege Berk Büyükbaş, İlker Işık	BuyukbasIsik
Li et al., "Spatial-Channel Token Distillation for Vision MLPs", ICML2022.	Devrim Çavuşoğlu	Cavusoglu
Mo et al., "Attacking Deep Reinforcement Learning With Decoupled Adversarial Policy", IEEE T on Dependable and Secure Computing, 2023	Adnan Harun Doğan, Merve Taplı	DoganTapli
Baltescu et al., "ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest", KDD 2022	Münir Ercan	Ercan
Hu et al., "TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks", ICLR 2023 (?)	Deniz Germen, Ardan YIlmaz	GermenYilmaz
Pislar et al., "When should agents explore?", ICLR 2022	Can Ufuk Ertenli, Onat Özdemir	ErtenliOzdemir
Tang et al., "Patch Slimming for Efficient Vision Transformers", CVPR 2022	Muhammed Can Keleş	Keles
Rao et al., "CTIN: Robust Contextual Transformer Network for Inertial Navigation", AAAI 2022	Yunus Bilge Kurt	Kurt
Huang et al., "Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets", AAAI 2022	Selim Kuzucu	Kuzucu
Yu et al., "A Biased Sampling Method for Imbalanced Personalized Ranking", CIKM 2022	Egemen Sert	Sert
Li et al., "UniVIP: A Unified Framework for Self-Supervised Visual Pre-training", CVPR 2022	Utku Mert Topçuoğlu	Topcuoglu
Truong et al., "SPARF: Neural Radiance Fields from Sparse and Noisy Poses", CVPR 2023	Umutcan Üstündaş	Ustundas