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Project Proposal

Paper presentation

Date Name Paper number Title Link to the paper Link to the summary
Feb 15 (example) Ri Wang Sequence to sequence learning with neural networks. Paper Summary
Oct 25 Dhruv Kumar 1 Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs Paper
Oct 25
Oct 25 Juan Carrillo 3 Hierarchical Representations for Efficient Architecture Search Paper
Oct 30 Manpreet Singh Minhas 1
Oct 30 Marvin Pafla 2 Fairness Without Demographics in Repeated Loss Minimization Paper
Oct 30 Glen Chalatov 3 TBD
Nov 1 Sriram Ganapathi Subramanian 1 Differentiable plasticity: training plastic neural networks with backpropagation Paper
Nov 1 Hadi Nekoei 1 Synthesizing Programs for Images using Reinforced Adversarial Learning Paper
Nov 1 Henry Chen 1 DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks Paper
Nov 1 Amirpasha Ghabussi 1
Nov 6 Nargess Heydari 2
Nov 6 Aravind Ravi 3 Towards Image Understanding from Deep Compression Without Decoding Paper
Nov 6 Ronald Feng
Nov 8 Neel Bhatt 1 Annotating Object Instances with a Polygon-RNN Paper
Nov 8 Jacob Manuel 2
Nov 8 Charupriya Sharma 2
NOv 13 Sagar Rajendran 1 Zero-Shot Visual Imitation Paper
Nov 13 Jiazhen Chen 2
Nov 13 Neil Budnarain 2 PixelNN: Example-Based Image Synthesis Paper
NOv 15 Zheng Ma 3 Reinforcement Learning of Theorem Proving Paper
Nov 15 Abdul Khader Naik 4
Nov 15 Johra Muhammad Moosa 2 Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin Paper
NOv 20 Zahra Rezapour Siahgourabi 1
Nov 20 Shubham Koundinya 6
Nov 20 Salman Khan Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples paper
NOv 22 Soroush Ameli 3 Learning to Navigate in Cities Without a Map paper
Nov 22 Ivan Li 23 Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate Paper
Nov 22 Sigeng Chen 2
Nov 27 Aileen Li 8 Spatially Transformed Adversarial Examples Paper
NOv 27 Xudong Peng 9
Nov 27 Xinyue Zhang 10 An Inference-Based Policy Gradient Method for Learning Options Paper
NOv 29 Junyi Zhang 11
Nov 29 Travis Bender 12 Automatic Goal Generation for Reinforcement Learning Agents Paper
Nov 29 Patrick Li 12 Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices Paper
Makup Ruijie Zhang 1 Searching for Efficient Multi-Scale Architectures for Dense Image Prediction Paper
Makup Ahmed Afify 2 Don't Decay the Learning Rate, Increase the Batch Size Paper
Makup Gaurav Sahu 3 TBD
Makup Kashif Khan 4 TBD
Makup Ki Beom Lee