Papers
Tue 18 May 2021
151 papers
- Pathdreamer: A World Model for Indoor NavigationWorld models → World models for navigation
- Contrastive Model Inversion for Data-Free Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal MatchingKnowledge distillation → Multimodal distillation
- Application of deep reinforcement learning for Indian stock trading automation
- SemSegLoss: A python package of loss functions for semantic segmentation
- Achieving Fairness with a Simple Ridge Penalty
- Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
- Efficiently Solving High-Order and Nonlinear ODEs with Rational Fraction Polynomial: the Ratio Net
- A General Theory for the Evolution of Application Models -- Full version
- Deep learning for solution and inversion of structural mechanics and vibrations
- Quantifying sources of uncertainty in drug discovery predictions with probabilistic models
- Effective Attention Sheds Light On Interpretability
- Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
- Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education
- rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm
- Training Heterogeneous Features in Sequence to Sequence Tasks: Latent Enhanced Multi-filter Seq2Seq Model
- Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments
- Meta-Reinforcement Learning by Tracking Task Non-stationarity
- A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
- Multi-Person Extreme Motion Prediction
- Non-contact Pain Recognition from Video Sequences with Remote Physiological Measurements Prediction
- RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance
- An Automated Method to Enrich Consumer Health Vocabularies Using GloVe Word Embeddings and An Auxiliary Lexical Resource
- Sparse Spiking Gradient Descent
- Multimodal Deep Learning Framework for Image Popularity Prediction on Social Media
- Correlated Adversarial Joint Discrepancy Adaptation Network
- Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing
- Analyzing the effectiveness of image augmentations for face recognition from limited data
- Masked Contrastive Learning for Anomaly Detection
- Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
- Self-Supervised Learning for Fine-Grained Visual Categorization
- LCP-RIT at SemEval-2021 Task 1: Exploring Linguistic Features for Lexical Complexity Prediction
- Learning and Information in Stochastic Networks and Queues
- Learning to Act Safely with Limited Exposure and Almost Sure Certainty
- Conformal Prediction using Conditional Histograms
- Machine learning on knowledge graphs for context-aware security monitoring
- A LightGBM based Forecasting of Dominant Wave Periods in Oceanic Waters
- Optimal radial basis for density-based atomic representations
- Human Motion Prediction Using Manifold-Aware Wasserstein GAN
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
- Fast and Slow Learning of Recurrent Independent Mechanisms
- Learning and Certification under Instance-targeted Poisoning
- Content Disentanglement for Semantically Consistent Synthetic-to-Real Domain Adaptation
- Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition
- Learning Embeddings from Knowledge Graphs With Numeric Edge Attributes
- Nonparametric Modeling of Higher-Order Interactions via Hypergraphons
- The Computational Complexity of ReLU Network Training Parameterized by Data Dimensionality
- DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities
- Enhancement of prediction algorithms by betting
- Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
- Reinforcement Learning With Sparse-Executing Actions via Sparsity Regularization
- A multimodal deep learning framework for scalable content based visual media retrieval
- DCAP: Deep Cross Attentional Product Network for User Response Prediction
- IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture
- CoTexT: Multi-task Learning with Code-Text Transformer
- Ab-initio study of interacting fermions at finite temperature with neural canonical transformation
- ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
- Assessing aesthetics of generated abstract images using correlation structure
- PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence
- Stylized Story Generation with Style-Guided Planning
- Zorro: Valid, Sparse, and Stable Explanations in Graph Neural Networks
- Adversarial Examples Detection with Bayesian Neural Network
- On the Robustness of Domain Constraints
- SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction from Video Data
- Shape Analysis of Functional Data with Elastic Partial Matching
- Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection
- WOVe: Incorporating Word Order in GloVe Word Embeddings
- ACAE-REMIND for Online Continual Learning with Compressed Feature Replay
- UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
- Self-interpretable Convolutional Neural Networks for Text Classification
- Adaptive ABAC Policy Learning: A Reinforcement Learning Approach
- Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings
- Machine Learning in weakly nonlinear systems: A Case study on Significant wave heights
- Vision Transformer for Fast and Efficient Scene Text Recognition
- Query Interpretations from Entity-Linked Segmentations
- AI-Native Network Slicing for 6G Networks
- Dependent Multi-Task Learning with Causal Intervention for Image Captioning
- Fixed β-VAE Encoding for Curious Exploration in Complex 3D Environments
- Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View
- Improved Ackermannian lower bound for the Petri nets reachability problem
- DACBench: A Benchmark Library for Dynamic Algorithm Configuration
- Robust Learning in Heterogeneous Contexts
- Transformers `a Grande Vitesse
- Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
- Self-supervised Remote Sensing Images Change Detection at Pixel-level
- Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising
- Unsupervised identification of surgical robotic actions from small non homogeneous datasets
- Univariate Long-Term Municipal Water Demand Forecasting
- Fast Game Content Adaptation Through Bayesian-based Player Modelling
- Parallel Attention Network with Sequence Matching for Video Grounding
- Link Prediction on N-ary Relational Facts: A Graph-based Approach
- AI and Shared Prosperity
- Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement
- Progressively Normalized Self-Attention Network for Video Polyp Segmentation
- Unsupervised Compound Domain Adaptation for Face Anti-Spoofing
- Implementation and Evaluation of a Multivariate Abstraction-Based, Interval-Based Dynamic Time-Warping Method as a Similarity Measure for Longitudinal Medical Records
- Learning stochastic dynamical systems with neural networks mimicking the Euler-Maruyama scheme
- Deep Active Contours Using Locally Controlled Distance Vector Flow
- Automatic Assessment of Alzheimer's Disease Diagnosis Based on Deep Learning Techniques
- DRILL: Dynamic Representations for Imbalanced Lifelong Learning
All 151
- CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
- Improved detection of small objects in road network sequences
- Relative Positional Encoding for Transformers with Linear Complexity
- Reconfiguring Hybrid Systems Using SAT
- StackVAE-G: An efficient and interpretable model for time series anomaly detection
- Relation Classification with Entity Type Restriction
- I2C2W: Image-to-Character-to-Word Transformers for Accurate Scene Text Recognition
- Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet
- Online Multimodal Transportation Planning using Deep Reinforcement Learning
- Divided We Rule: Influencer Polarization on Twitter During Political Crises in India
- Solving the electronic Schr"odinger equation for multiple nuclear geometries with weight-sharing deep neural networks
- On Convex Clustering Solutions
- DRIVE: One-bit Distributed Mean Estimation
- Exemplar-Based Open-Set Panoptic Segmentation Network
- Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks
- Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies
- Can Self Reported Symptoms Predict Daily COVID-19 Cases?
- Zero-Shot Recommender Systems
- CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation
- Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach
- BBE: Simulating the Microstructural Dynamics of an In-Play Betting Exchange via Agent-Based Modelling
- Sample Efficient Linear Meta-Learning by Alternating Minimization
- Parametrization invariant interpretation of priors and posteriors
- Wizard of Search Engine: Access to Information Through Conversations with Search Engines
- Independent Asymmetric Embedding for Information Diffusion Prediction on Social Networks
- Exploring Driving-aware Salient Object Detection via Knowledge Transfer
- Sublinear Least-Squares Value Iteration via Locality Sensitive Hashing
- Learning to Route via Theory-Guided Residual Network
- NExT-QA:Next Phase of Question-Answering to Explaining Temporal Actions
- ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale
- Sparta: Spatially Attentive and Adversarially Robust Activation
- Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
- EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis
- Label Inference Attacks from Log-loss Scores
- KECRS: Towards Knowledge-Enriched Conversational Recommendation System
- Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach
- Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator
- Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk
- PoBRL: Optimizing Multi-Document Summarization by Blending Reinforcement Learning Policies
- Towards Unsupervised Sketch-based Image Retrieval
- Oneshot Differentially Private Top-k Selection
- Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements
- Single View Geocentric Pose in the Wild
- Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks
- Arrested phase separation in double-exchange models: machine-learning enabled large-scale simulation
- An Annotated Commodity News Corpus for Event Extraction
- Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
- BookSum: A Collection of Datasets for Long-form Narrative Summarization
- LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer
- Reinforcement Learning for Adaptive Video Compressive Sensing
- A parameter refinement method for Ptychography based on Deep Learning concepts