VIGAN combines CycleGAN and multi-modal autoencoder for missing view imputation in multi-view data.

Chao Shang, Aaron Palmer, Jiangwen Sun et al.

Proposes a regularization method based on uniform distribution to maximize feature spread, combined with triplet loss, significantly improving local descriptor performance.

Xu Zhang, Felix X. Yu, Sanjiv Kumar et al.

Gradient-based evasion attack assesses SVM and neural network security in PDF malware detection, achieving over 85% success rate.

Battista Biggio, Igino Corona, Davide Maiorca et al.

Proposes an end-to-end learned multi-view stereo system leveraging differentiable geometric projections, achieving high-quality 3D reconstructions from few views, tested on ShapeNet.

Abhishek Kar, Christian Häne, Jitendra Malik

Proposed sequence-based CNN (SCNN) for multiparty dialogue emotion detection; achieved 37.9% accuracy for fine-grained emotion classification.

Sayyed M. Zahiri, Jinho D. Choi

Proposed LARS algorithm enables AlexNet and ResNet-50 to train with large batches without accuracy loss.

Yang You, Igor Gitman, Boris Ginsburg

Using state space models to compose Romantic piano pieces, finding success in harmony but lacking melodic progression.

Anna K. Yanchenko, Sayan Mukherjee

Rigorous derivation of mutual information and phase transitions in high-dimensional GLMs using adaptive interpolation and replica methods.

Jean Barbier, Florent Krzakala, Nicolas Macris et al.

Unsupervised sequence sorting via CNN enables rich visual features, improving action recognition and detection benchmarks.

Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh et al.

Edinburgh's WMT17 system uses Nematus with deep architectures, layer normalization, and BPE, achieving 2.2-5 BLEU gains.

Rico Sennrich, Alexandra Birch, Anna Currey et al.

Multi-model ensemble approach combining feature engineering and deep learning achieved an average Pearson correlation of 0.73 in multilingual STS tasks.

Daniel Cer, Mona Diab, Eneko Agirre et al.

Proposes novel logarithmic MIP formulations for nonconvex piecewise linear functions, achieving up to 3x speedup in complex instances.

Joey Huchette, Juan Pablo Vielma

Robust statistical methods (e.g., MCD, LTS, PCA) effectively detect outliers in high-dimensional data, improving robustness and interpretability.

Peter J. Rousseeuw, Mia Hubert

A Siamese relative-pose CNN achieves 0.21 m and 9.30° mean median error on 7 Scenes while generalizing across scenes.

Zakaria Laskar, Iaroslav Melekhov, Surya Kalia et al.

A PAC-Bayes approach to derive generalization bounds using spectral and Frobenius norms for neural networks.

Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro

The method converts node embeddings into multi-channel histograms for vanilla 2D CNNs, reaching 48.13% on REDDIT-12K.

Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos et al.

Proposes a cascaded refinement network (CRN) for high-res photo synthesis from semantic layouts, achieving 2MP resolution with superior realism over GANs.

Qifeng Chen, Vladlen Koltun

DARLA significantly improves zero-shot transfer in RL by learning disentangled representations, achieving a 270.3% performance boost.

Irina Higgins, Arka Pal, Andrei A. Rusu et al.

Up-Down attention combines Faster R-CNN region features with task-conditioned attention, reaching CIDEr 117.9 and winning the 2017 VQA Challenge.

Peter Anderson, Xiaodong He, Chris Buehler et al.

GridNet, a multi-scale residual grid architecture, achieves 69.45% IoU on Cityscapes, outperforming many baselines.

Damien Fourure, Rémi Emonet, Elisa Fromont et al.