Reading Task

Affiliation	Paper Name	Principal	Materials
ICML 2015	From Word Embeddings To Document Distances	-	-
ICML 2015	Weight Uncertainty in Neural Network	-	-
ICML 2015	Long Short-Term Memory Over Recursive Structures	-	-
ICML 2015	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	-	-
ICML 2015	Learning Transferable Features with Deep Adaptation Networks	-	-
ICML 2015	Learning Word Representations with Hierarchical Sparse Coding	-	-
ICML 2015	DRAW: A Recurrent Neural Network For Image Generation	-	-
ICML 2015	Unsupervised Learning of Video Representations using LSTMs	-	-
ICML 2015	MADE: Masked Autoencoder for Distribution Estimation	-	-
ICML 2015	Hashing for Distributed Data	-	-
ICML 2015	Is Feature Selection Secure against Training Data Poisoning?	-	-
ICML 2015	Mind the duality gap: safer rules for the Lasso	-	-
ICML 2015	PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data	-	-
ICML 2015	Generalization error bounds for learning to rank: Does the length of document lists matter?	-	-
ICML 2015	Classification with Low Rank and Missing Data	-	-
ICML 2015	Functional Subspace Clustering with Application to Time Series	-	-
ICML 2015	Abstraction Selection in Model-based Reinforcement Learning	-	-
ICML 2015	Learning Local Invariant Mahalanobis Distances	-	-
ICML 2015	A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate	-	-
ICML 2015	Learning from Corrupted Binary Labels via Class-Probability Estimation	-	-
ICML 2015	On the Relationship between Sum-Product Networks and Bayesian Networks	-	-
ICML 2015	Efficient Training of LDA on a GPU by Mean-for-Mode Estimation	-	-
ICML 2015	A low variance consistent test of relative dependency	-	-
ICML 2015	Streaming Sparse Principal Component Analysis	-	-
ICML 2015	How Can Deep Rectifier Networks Achieve Linear Separability and Preserve Distances?	-	-
ICML 2015	Online Learning of Eigenvectors	-	-
ICML 2015	Asymmetric Transfer Learning with Deep Gaussian Processes	-	-
ICML 2015	Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network	-	-
ICML 2015	BilBOWA: Fast Bilingual Distributed Representations without Word Alignments	-	-
ICML 2015	Strongly Adaptive Online Learning	-	-
ICML 2015	Cascading Bandits: Learning to Rank in the Cascade Model	-	-
ICML 2015	Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM	-	-
ICML 2015	Latent Topic Networks: A Versatile Probabilistic Programming Framework for Topic Models	-	-
ICML 2015	Multi-Task Learning for Subspace Segmentation	-	-
ICML 2015	Convex Formulation for Learning from Positive and Unlabeled Data	-	-
ICML 2015	Alpha-Beta Divergences Discover Micro and Macro Structures in Data	-	-
ICML 2015	On Greedy Maximization of Entropy	-	-
ICML 2015	The Hedge Algorithm on a Continuum	-	-
ICML 2015	MRA-based Statistical Learning from Incomplete Rankings	-	-
ICML 2015	A Linear Dynamical System Model for Text	-	-
ICML 2015	HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades	-	-
ICML 2015	Support Matrix Machines	-	-
ICML 2015	Unsupervised Domain Adaptation by Backpropagation	-	-
ICML 2015	The Ladder: A Reliable Leaderboard for Machine Learning Competitions	-	-
ICML 2015	On Deep Multi-View Representation Learning	-	-
ICML 2015	A Probabilistic Model for Dirty Multi-task Feature Selection	-	-
ICML 2015	Deep Edge-Aware Filters	-	-
ICLR 2015	EMBEDDING ENTITIES AND RELATIONS FOR LEARNING AND INFERENCE IN KNOWLEDGE BASES.	-	-
ICLR 2015	TECHNIQUES FOR LEARNING BINARY STOCHASTIC FEEDFORWARD NEURAL NETWORKS.	-	-
ICLR 2015	Joint RNN-Based Greedy Parsing and Word Composition	-	-
ICLR 2015	Scheduled denoising autoencoders	-	-
ICLR 2015	Adam: A Method for Stochastic Optimization	-	-
ICLR 2015	Modeling Compositionality with Multiplicative Recurrent Neural Networks	-	-
ICLR 2015	Explaining and Harnessing Adversarial Examples	-	-
ICLR 2015	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition	-	-
ICLR 2015	Deep Structured Output Learning for Unconstrained Text Recognition	-	-
ICLR 2015	Zero-bias autoencoders and the benefits of co-adapting features	-	-
ICLR 2015	Understanding Locally Competitive Networks	-	-
ICLR 2015	Leveraging Monolingual Data for Crosslingual Compositional Word Representations	-	-
ICLR 2015	Word Representations via Gaussian Embedding	-	-
ICLR 2015	Qualitatively characterizing neural network optimization problems	-	-
ICLR 2015	Memory Networks	-	-
ICLR 2015	Generative Modeling of Convolutional Neural Networks	-	-
ICLR 2015	A Unified Perspective on Multi-Domain and Multi-Task Learning	-	-
ICLR 2015	Learning Non-deterministic Representations with Energy-based Ensembles	-	-
ICLR 2015	Diverse Embedding Neural Network Language Models	-	-
ICLR 2015	Hot Swapping for Online Adaptation of Optimization Hyperparameters	-	-
ICLR 2015	Representation Learning for cold-start recommendation	-	-
ICLR 2015	On the Stability of Deep Networks	-	-
ICLR 2015	Stochastic Descent Analysis of Representation Learning Algorithms	-	-
ICLR 2015	Deep metric learning using Triplet network	-	-
ICLR 2015	Learning Longer Memory in Recurrent Neural Networks	-	-
ICLR 2015	Inducing Semantic Representation from Text by Jointly Predicting and Factorizing Relations	-	-
ICLR 2015	NICE: Non-linear Independent Components Estimation	-	-
ICLR 2015	Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison	-	-
ICLR 2015	On Learning Vector Representations in Hierarchical Label Spaces	-	-
ICLR 2015	Real-World Font Recognition Using Deep Network and Domain Adaptation	-	-
ICLR 2015	Algorithmic Robustness for Learning via (ε,γ,τ)-Good Similarity Functions	-	-
ICLR 2015	Score Function Features for Discriminative Learning	-	-
ICLR 2015	Parallel training of DNNs with Natural Gradient and Parameter Averaging	-	-
ICLR 2015	A Generative Model for Deep Convolutional Learning	-	-
ICLR 2015	Random Forests Can Hash	-	-
ICLR 2015	Provable Methods for Training Neural Networks with Sparse Connectivity	-	-
ICLR 2015	Deep learning with Elastic Averaging SGD	-	-
ICLR 2015	Example Selection For Dictionary Learning	-	-
ICLR 2015	Unsupervised Domain Adaptation with Feature Embeddings	-	-