Papers
Fri 8 Jul 2022
152 papers
- CoSIm: Commonsense Reasoning for Counterfactual Scene ImaginationLLM reasoning → Multimodal reasoning
- Neural Implicit Dictionary via Mixture-of-Expert TrainingMixture-of-experts → Vision mixture-of-experts
- Computationally Identifying Funneling and Focusing Questions in Classroom Discourse
- AI-based Optimal scheduling of Renewable AC Microgrids with bidirectional LSTM-Based Wind Power Forecasting
- Open World Learning Graph Convolution for Latency Estimation in Routing Networks
- Twitmo: A Twitter Data Topic Modeling and Visualization Package for R
- Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics
- Test-Time Adaptation via Self-Training with Nearest Neighbor Information
- Emotion detection of social data: APIs comparative study
- Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future
- Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies
- RF-Photonic Deep Learning Processor with Shannon-Limited Data Movement
- Improving Wikipedia Verifiability with AI
- Physics-Informed Deep Neural Operator Networks
- Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
- A note on VIX for postprocessing quantitative strategies
- Stacked Autoencoder Based Multi-Omics Data Integration for Cancer Survival Prediction
- Graph-based Molecular Representation Learning
- Automated Audio Captioning and Language-Based Audio Retrieval
- TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
- Probing Classifiers are Unreliable for Concept Removal and Detection
- L0onie: Compressing COINs with L0-constraints
- Interactive Recommendations for Optimal Allocations in Markets with Constraints
- CompoSuite: A Compositional Reinforcement Learning Benchmark
- Modeling and Predicting Transistor Aging under Workload Dependency using Machine Learning
- Cross-Attention Transformer for Video Interpolation
- Multi-view Attention for gestational age at birth prediction
- How many perturbations break this model? Evaluating robustness beyond adversarial accuracy
- Out of Distribution Detection via Neural Network Anchoring
- Braid-based architecture search
- Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
- Ablation Study of How Run Time Assurance Impacts the Training and Performance of Reinforcement Learning Agents
- Seasonal Encoder-Decoder Architecture for Forecasting
- ReFinED: An Efficient Zero-shot-capable Approach to End-to-End Entity Linking
- Improving Entity Disambiguation by Reasoning over a Knowledge Base
- Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
- StatMix: Data augmentation method that relies on image statistics in federated learning
- FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate
- SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
- Adaptive Self-supervision Algorithms for Physics-informed Neural Networks
- Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification
- Models Out of Line: A Fourier Lens on Distribution Shift Robustness
- Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
- Causal Discovery using Model Invariance through Knockoff Interventions
- Online Learning in Supply-Chain Games
- On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis
- Few-Example Clustering via Contrastive Learning
- kMaX-DeepLab: k-means Mask Transformer
- The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications
- Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
- Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future Directions
- CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material)
- A Multi-tasking Model of Speaker-Keyword Classification for Keeping Human in the Loop of Drone-assisted Inspection
- ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks
- MACFE: A Meta-learning and Causality Based Feature Engineering Framework
- ABB-BERT: A BERT model for disambiguating abbreviations and contractions
- Event Collapse in Contrast Maximization Frameworks
- No Time Like the Present: Effects of Language Change on Automated Comment Moderation
- On Improving the Performance of Glitch Classification for Gravitational Wave Detection by using Generative Adversarial Networks
- Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
- Generalization-Memorization Machines
- Detection of Furigana Text in Images
- Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with Inexact Prox
- Black and Gray Box Learning of Amplitude Equations: Application to Phase Field Systems
- Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks
- High Performance Simulation for Scalable Multi-Agent Reinforcement Learning
- An Approach to Ensure Fairness in News Articles
- ControlBurn: Nonlinear Feature Selection with Sparse Tree Ensembles
- Active Learning-based Isolation Forest (ALIF): Enhancing Anomaly Detection in Decision Support Systems
- A law of adversarial risk, interpolation, and label noise
- Memory-free Online Change-point Detection: A Novel Neural Network Approach
- Accelerating Material Design with the Generative Toolkit for Scientific Discovery
- BAST: Binaural Audio Spectrogram Transformer for Binaural Sound Localization
- Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
- RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
- A Mask Attention Interaction and Scale Enhancement Network for SAR Ship Instance Segmentation
- Ensemble random forest filter: An alternative to the ensemble Kalman filter for inverse modeling
- Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
- Reproducing sensory induced hallucinations via neural fields
- Big Learning
- Defense Against Multi-target Trojan Attacks
- ENCODE: Encoding NetFlows for Network Anomaly Detection
- Generative Adversarial Networks and Other Generative Models
- A Medical Information Extraction Workbench to Process German Clinical Text
- NExG: Provable and Guided State Space Exploration of Neural Network Control Systems using Sensitivity Approximation
- The Power of Transfer Learning in Agricultural Applications: AgriNet
- Constrained Training of Neural Networks via Theorem Proving
- Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems
- BlindSpotNet: Seeing Where We Cannot See
- Learning Sequential Descriptors for Sequence-based Visual Place Recognition
- Pixel-level Correspondence for Self-Supervised Learning from Video
- Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain
- Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study
- DSTEA: Improving Dialogue State Tracking via Entity Adaptive Pre-training
- Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management
- On data-driven chance constraint learning for mixed-integer optimization problems
- Continuous Methods : Hamiltonian Domain Translation
- Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method
- An Efficiency Study for SPLADE Models
- Safe reinforcement learning for multi-energy management systems with known constraint functions
All 152
- Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations
- Deep Learning for Anomaly Detection in Log Data: A Survey
- UDRN: Unified Dimensional Reduction Neural Network for Feature Selection and Feature Projection
- Beyond Transfer Learning: Co-finetuning for Action Localisation
- On the Subspace Structure of Gradient-Based Meta-Learning
- Robust Newsvendor Problem in Global Market: Stable Operation Strategy for a Two-Market Stochastic System
- FastLTS: Non-Autoregressive End-to-End Unconstrained Lip-to-Speech Synthesis
- Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction
- Continuous Target-free Extrinsic Calibration of a Multi-Sensor System from a Sequence of Static Viewpoints
- A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning
- VidConv: A modernized 2D ConvNet for Efficient Video Recognition
- Hidden Schema Networks
- Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning
- Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities
- Virtual Axle Detector based on Analysis of Bridge Acceleration Measurements by Fully Convolutional Network
- Combining Deep Learning with Good Old-Fashioned Machine Learning
- Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
- GEMS: Scene Expansion using Generative Models of Graphs
- TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot
- Exploring the Effectiveness of Video Perceptual Representation in Blind Video Quality Assessment
- Bounding Box Disparity: 3D Metrics for Object Detection With Full Degree of Freedom
- Convolutional Neural Networks for Time-dependent Classification of Variable-length Time Series
- Jointly Harnessing Prior Structures and Temporal Consistency for Sign Language Video Generation
- Video-based Smoky Vehicle Detection with A Coarse-to-Fine Framework
- SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera
- Tightening Discretization-based MILP Models for the Pooling Problem using Upper Bounds on Bilinear Terms
- End-to-End Binaural Speech Synthesis
- Mining Discriminative Food Regions for Accurate Food Recognition
- Guiding the retraining of convolutional neural networks against adversarial inputs
- GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks
- Predicting Li-ion Battery Cycle Life with LSTM RNN
- Unsupervised Domain Adaptive Fundus Image Segmentation with Category-level Regularization
- Music-driven Dance Regeneration with Controllable Key Pose Constraints
- A Survey on Participant Selection for Federated Learning in Mobile Networks
- Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Base
- Getting BART to Ride the Idiomatic Train: Learning to Represent Idiomatic Expressions
- Stability of Aggregation Graph Neural Networks
- SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
- Learning High-quality Proposals for Acne Detection
- Determination of action model equivalence and simplification of action model
- Deepfake Face Traceability with Disentangling Reversing Network
- Video Dialog as Conversation about Objects Living in Space-Time
- Private independence testing across two parties
- Balanced Self-Paced Learning for AUC Maximization
- Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks
- Pruning Early Exit Networks
- SETSum: Summarization and Visualization of Student Evaluations of Teaching
- Nonparametric Embeddings of Sparse High-Order Interaction Events
- A Support Vector Model of Pruning Trees Evaluation Based on OTSU Algorithm
- OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering
- Information-Gathering in Latent Bandits
- Convolution Neural Network based Mode Decomposition for Degenerated Modes via Multiple Images from Polarizers