Papers
Fri 24 Jun 2022
138 papers
- Debiasing Learning for Membership Inference Attacks Against Recommender SystemsLLM safety and security → Membership inference attacks
- Defending Backdoor Attacks on Vision Transformer via Patch ProcessingLLM safety and security → Backdoor and data poisoning attacks
- Mixed Sample Augmentation for Online DistillationKnowledge distillation → General knowledge distillation methods
- MPC-based Imitation Learning for Safe and Human-like Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Eco-driving for Electric Connected Vehicles at Signalized Intersections: A Parameterized Reinforcement Learning approachEnd-to-end autonomous driving → Cooperative and V2X driving
- How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis ProjectionsState-space sequence models (S4, Mamba) → Core SSM architectures for language
- An Investigation on Non-Invasive Brain-Computer Interfaces: Emotiv Epoc+ Neuroheadset and Its Effectiveness
- A Dataset on Malicious Paper Bidding in Peer Review
- FLVoogd: Robust And Privacy Preserving Federated Learning
- A Multi-stage Framework with Mean Subspace Computation and Recursive Feedback for Online Unsupervised Domain Adaptation
- Competence-based Multimodal Curriculum Learning for Medical Report Generation
- Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
- On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
- Deep Active Learning for Regression Using ε-weighted Hybrid Query Strategy
- Prediction of Football Player Value using Bayesian Ensemble Approach
- MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction
- ML-Based Approach for NFL Defensive Pass Interference Prediction Using GPS Tracking Data
- DetIE: Multilingual Open Information Extraction Inspired by Object Detection
- Domain Generalization with Relaxed Instance Frequency-wise Normalization for Multi-device Acoustic Scene Classification
- Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings
- Black Box Optimization Using QUBO and the Cross Entropy Method
- Stain Based Contrastive Co-training for Histopathological Image Analysis
- Multi-Modal and Multi-Factor Branching Time Active Inference
- Optimal and Robust Category-level Perception: Object Pose and Shape Estimation from 2D and 3D Semantic Keypoints
- Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers
- RAPid-Learn: A Framework for Learning to Recover for Handling Novelties in Open-World Environments
- Arithmetic Circuits, Structured Matrices and (not so) Deep Learning
- Variational Bayesian inference for CP tensor completion with side information
- The syntax-lexicon tradeoff in writing
- An Intensity and Phase Stacked Analysis of Phase-OTDR System using Deep Transfer Learning and Recurrent Neural Networks
- Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
- Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI
- Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts
- Motion Estimation for Large Displacements and Deformations
- Risk-averse Contextual Multi-armed Bandit Problem with Linear Payoffs
- Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images
- Ev-NeRF: Event Based Neural Radiance Field
- Vibration fault detection in wind turbines based on normal behaviour models without feature engineering
- OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience
- Gated Domain Units for Multi-source Domain Generalization
- Joint Representation Training in Sequential Tasks with Shared Structure
- SCAI: A Spectral data Classification framework with Adaptive Inference for the IoT platform
- Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach
- Geometry Interaction Knowledge Graph Embeddings
- Deep embedded clustering algorithm for clustering PACS repositories
- A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification
- A novel approach to increase scalability while training machine learning algorithms using Bfloat 16 in credit card fraud detection
- ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings
- Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks
- Text-Driven Stylization of Video Objects
- Data Leakage in Federated Averaging
- A Test for Evaluating Performance in Human-Computer Systems
- QAGAN: Adversarial Approach To Learning Domain Invariant Language Features
- QReg: On Regularization Effects of Quantization
- Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users
- On Certifying and Improving Generalization to Unseen Domains
- From Tensor Network Quantum States to Tensorial Recurrent Neural Networks
- Robustness to corruption in pre-trained Bayesian neural networks
- HM3D-ABO: A Photo-realistic Dataset for Object-centric Multi-view 3D Reconstruction
- Quantifying Inherent Randomness in Machine Learning Algorithms
- Megapixel Image Generation with Step-Unrolled Denoising Autoencoders
- Segmentation-free PVC for Cardiac SPECT using a Densely-connected Multi-dimensional Dynamic Network
- FEATHERS: Federated Architecture and Hyperparameter Search
- Achievement and Fragility of Long-term Equitability
- Toward multi-target self-organizing pursuit in a partially observable Markov game
- Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems
- ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias
- How to train accurate BNNs for embedded systems?
- PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant using Interventional Radiology Workflow Analysis
- Learning sparse features can lead to overfitting in neural networks
- Bugs in Machine Learning-based Systems: A Faultload Benchmark
- Analyzing the impact of SARS-CoV-2 variants on respiratory sound signals
- Automatic extraction of coronary arteries using deep learning in invasive coronary angiograms
- Learning Rhetorical Structure Theory-based descriptions of observed behaviour
- Text and author-level political inference using heterogeneous knowledge representations
- Robustness of Explanation Methods for NLP Models
- Iterative Sound Source Localization for Unknown Number of Sources
- Physically Consistent Learning of Conservative Lagrangian Systems with Gaussian Processes
- Using Autoencoders on Differentially Private Federated Learning GANs
- Data-driven reduced order models using invariant foliations, manifolds and autoencoders
- PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
- Reinforcement learning based adaptive metaheuristics
- Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech
- Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective
- MPClan: Protocol Suite for Privacy-Conscious Computations
- Optimized Views Photogrammetry: Precision Analysis and A Large-scale Case Study in Qingdao
- Capture Salient Historical Information: A Fast and Accurate Non-Autoregressive Model for Multi-turn Spoken Language Understanding
- Computational Complexity Evaluation of Neural Network Applications in Signal Processing
- SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting
- Dynamic network congestion pricing based on deep reinforcement learning
- "You Can't Fix What You Can't Measure": Privately Measuring Demographic Performance Disparities in Federated Learning
- Towards FPGA Implementation of Neural Network-Based Nonlinearity Mitigation Equalizers in Coherent Optical Transmission Systems
- MULTI-FLGANs: Multi-Distributed Adversarial Networks for Non-IID distribution
- AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
- Neural Networks with A La Carte Selection of Activation Functions
- Data-driven discovery of novel 2D materials by deep generative models
- Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and Routing
- Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation
- ER: Equivariance Regularizer for Knowledge Graph Completion
- Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
All 138
- HARU: Haptic Augmented Reality-Assisted User-Centric Industrial Network Planning
- Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
- SANE-TTS: Stable And Natural End-to-End Multilingual Text-to-Speech
- MVP: Multi-task Supervised Pre-training for Natural Language Generation
- Excavating RoI Attention for Underwater Object Detection
- Implicit Channel Learning for Machine Learning Applications in 6G Wireless Networks
- Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
- Some theoretical results on discrete contour trees
- Self Supervised Learning for Few Shot Hyperspectral Image Classification
- Approximating 1-Wasserstein Distance with Trees
- Dissecting U-net for Seismic Application: An In-Depth Study on Deep Learning Multiple Removal
- Signal Knowledge Graph
- TreeDRNet:A Robust Deep Model for Long Term Time Series Forecasting
- On Structural Explanation of Bias in Graph Neural Networks
- Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System
- zPROBE: Zero Peek Robustness Checks for Federated Learning
- A novel approach for glaucoma classification by wavelet neural networks using graph-based, statisitcal features of qualitatively improved images
- Unified BERT for Few-shot Natural Language Understanding
- Classifying Unstructured Clinical Notes via Automatic Weak Supervision
- Symbolic-Regression Boosting
- Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings
- Multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and GNSS data
- Synthesizing Rolling Bearing Fault Samples in New Conditions: A framework based on a modified CGAN
- MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation
- Contrastive Learning of Features between Images and LiDAR
- Mutual Information-guided Knowledge Transfer for Novel Class Discovery
- SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
- Bilateral Network with Channel Splitting Network and Transformer for Thermal Image Super-Resolution
- Protecting President Zelenskyy against Deep Fakes
- How many labelers do you have? A closer look at gold-standard labels
- End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue
- BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping
- SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners
- The Second Place Solution for The 4th Large-scale Video Object Segmentation Challenge--Track 3: Referring Video Object Segmentation
- DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments
- Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning
- A multi-model-based deep learning framework for short text multiclass classification with the imbalanced and extremely small data set
- Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems