Papers
Wed 22 Feb 2023
171 papers
- Uncovering Bias in Face Generation ModelsDiffusion models → Image generation, text-to-image and editing
- Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMCDiffusion models → Diffusion foundations and sampling
- Distilling Calibrated Student from an Uncalibrated TeacherKnowledge distillation → General knowledge distillation methods
- Behavior Proximal Policy OptimizationOffline RL and imitation learning from data → Offline RL algorithms
- Debiased Distillation by Transplanting the Last LayerKnowledge distillation → General knowledge distillation methods
- A Multi-Modal Neural Geometric Solver with Textual Clauses Parsed from DiagramLLM reasoning → Spatial and embodied reasoning
- Test-Time Distribution Normalization for Contrastively Learned Vision-language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Novel Intent Detection and Active Learning Based Classification (Student Abstract)
- Representational Tenets for Memory Athletics
- Quantifying Causes of Arctic Amplification via Deep Learning based Time-series Causal Inference
- On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction
- Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
- Solution for the EPO CodeFest on Green Plastics: Hierarchical multi-label classification of patents relating to green plastics using deep learning
- On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective
- Novel Class Discovery: an Introduction and Key Concepts
- Personalized Privacy-Preserving Framework for Cross-Silo Federated Learning
- A Generalized Weighted Loss for SVC and MLP
- DMMG: Dual Min-Max Games for Self-Supervised Skeleton-Based Action Recognition
- Random Projection Forest Initialization for Graph Convolutional Networks
- Graph Construction using Principal Axis Trees for Simple Graph Convolution
- ACE: Zero-Shot Image to Image Translation via Pretrained Auto-Contrastive-Encoder
- Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques
- fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
- New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs
- Constrained Reinforcement Learning using Distributional Representation for Trustworthy Quadrotor UAV Tracking Control
- MVTrans: Multi-View Perception of Transparent Objects
- On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
- Information Theory Inspired Pattern Analysis for Time-series Data
- Grounding Complex Natural Language Commands for Temporal Tasks in Unseen Environments
- A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
- Do We Really Need Complicated Model Architectures For Temporal Networks?
- Provably Efficient Reinforcement Learning via Surprise Bound
- Provable Robustness Against a Union of ℓ0 Adversarial Attacks
- Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
- Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles
- Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra
- Some Might Say All You Need Is Sum
- Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition
- Self-supervised network distillation: an effective approach to exploration in sparse reward environments
- Word level Bangla Sign Language Dataset for Continuous BSL Recognition
- K-Diag: Knowledge-enhanced Disease Diagnosis in Radiographic Imaging
- Equivariant Polynomials for Graph Neural Networks
- Scaling Robot Learning with Semantically Imagined Experience
- MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning
- Modular Deep Learning
- A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learning
- Precoding-oriented Massive MIMO CSI Feedback Design
- Slim U-Net: Efficient Anatomical Feature Preserving U-net Architecture for Ultrasound Image Segmentation
- Evaluation of Extra Pixel Interpolation with Mask Processing for Medical Image Segmentation with Deep Learning
- How Does In-Context Learning Help Prompt Tuning?
- Guiding Large Language Models via Directional Stimulus Prompting
- A Global and Patch-wise Contrastive Loss for Accurate Automated Exudate Detection
- Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging
- Construction of Knowledge Graphs: State and Challenges
- nSimplex Zen: A Novel Dimensionality Reduction for Euclidean and Hilbert Spaces
- S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification
- On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution
- Magnification Invariant Medical Image Analysis: A Comparison of Convolutional Networks, Vision Transformers, and Token Mixers
- Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
- Transformer-Based Sensor Fusion for Autonomous Driving: A Survey
- Drop Edges and Adapt: a Fairness Enforcing Fine-tuning for Graph Neural Networks
- An Interpretable Determinantal Choice Model for Subset Selection
- Power Constrained Autotuning using Graph Neural Networks
- Advancements in Federated Learning: Models, Methods, and Privacy
- Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image Enhancement
- Saliency Guided Contrastive Learning on Scene Images
- Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking
- Semantic Information Marketing in The Metaverse: A Learning-Based Contract Theory Framework
- Singular value decomposition based matrix surgery
- A Note on "Towards Efficient Data Valuation Based on the Shapley Value''
- Differentiable Rotamer Sampling with Molecular Force Fields
- Enhanced Face Authentication With Separate Loss Functions
- Aligned Diffusion Schr"odinger Bridges
- Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
- Structure Embedded Nucleus Classification for Histopathology Images
- Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
- Gradient Adjusting Networks for Domain Inversion
- Data Augmentation for Neural NLP
- ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms
- KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks
- Entity-Level Text-Guided Image Manipulation
- Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
- Stress and Adaptation: Applying Anna Karenina Principle in Deep Learning for Image Classification
- Impact of Subword Pooling Strategy on Cross-lingual Event Detection
- Vision-Based Estimation of Small Body Rotational State during the Approach Phase
- Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition
- HDR image watermarking using saliency detection and quantization index modulation
- Poisson Conjugate Prior for PHD Filtering based Track-Before-Detect Strategies in Radar Systems
- Learning Dynamic Graph Embeddings with Neural Controlled Differential Equations
- X-TRA: Improving Chest X-ray Tasks with Cross-Modal Retrieval Augmentation
- Abrupt and spontaneous strategy switches emerge in simple regularised neural networks
- Steerable Equivariant Representation Learning
- HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
- PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
- A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks
- Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
- Time-varying Signals Recovery via Graph Neural Networks
- Human MotionFormer: Transferring Human Motions with Vision Transformers
- View Consistency Aware Holistic Triangulation for 3D Human Pose Estimation
All 171
- Towards End-to-end Semi-supervised Learning for One-stage Object Detection
- Approximate spectral clustering density-based similarity for noisy datasets
- Approximate spectral clustering with eigenvector selection and self-tuned k
- Refining a k-nearest neighbor graph for a computationally efficient spectral clustering
- Fair Correlation Clustering in Forests
- Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation
- Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
- Neural-based classification rule learning for sequential data
- Asynchronous Trajectory Matching-Based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways
- Topic-switch adapted Japanese Dialogue System based on PLATO-2
- Learning from Multiple Sources for Data-to-Text and Text-to-Data
- Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks
- Transfer Learning Enhanced Full Waveform Inversion
- Cross-modal Audio-visual Co-learning for Text-independent Speaker Verification
- Focusing On Targets For Improving Weakly Supervised Visual Grounding
- Considering Layerwise Importance in the Lottery Ticket Hypothesis
- A Unified Cloud-Enabled Discrete Event Parallel and Distributed Simulation Architecture
- The DeepCAR Method: Forecasting Time-Series Data That Have Change Points
- Explainable Contextual Anomaly Detection using Quantile Regression Forests
- Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems
- Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory
- Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
- MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition
- Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
- Deep Kernel Principal Component Analysis for Multi-level Feature Learning
- Connecting Vision and Language with Video Localized Narratives
- Energy-Based Test Sample Adaptation for Domain Generalization
- Feasible Recourse Plan via Diverse Interpolation
- Distributionally Robust Recourse Action
- KS-DETR: Knowledge Sharing in Attention Learning for Detection Transformer
- Semi-Supervised Segmentation of Multi-vendor and Multi-center Cardiac MRI using Histogram Matching
- Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues
- Quantized Low-Rank Multivariate Regression with Random Dithering
- Invariant Target Detection in Images through the Normalized 2-D Correlation Technique
- Prediction of single well production rate in water-flooding oil fields driven by the fusion of static, temporal and spatial information
- Improving Contextual Spelling Correction by External Acoustics Attention and Semantic Aware Data Augmentation
- What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel
- UML: A Universal Monolingual Output Layer for Multilingual ASR
- A residual dense vision transformer for medical image super-resolution with segmentation-based perceptual loss fine-tuning
- When Combinatorial Thompson Sampling meets Approximation Regret
- DISCO: Distributed Inference with Sparse Communications
- Error Estimation for Random Fourier Features
- VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems
- Impact of a Batter in ODI Cricket Implementing Regression Models from Match Commentary
- DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
- Sparse, Geometric Autoencoder Models of V1
- BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022
- FiNER-ORD: Financial Named Entity Recognition Open Research Dataset
- Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities
- Multi-Message Shuffled Privacy in Federated Learning
- Stochastic Approximation Beyond Gradient for Signal Processing and Machine Learning
- Fairguard: Harness Logic-based Fairness Rules in Smart Cities
- Semi-Supervised Approach for Early Stuck Sign Detection in Drilling Operations
- Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation
- Counterfactual Prediction Under Outcome Measurement Error
- Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI
- Multi-Head Feature Pyramid Networks for Breast Mass Detection
- Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning
- Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
- MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network
- GTRL: An Entity Group-Aware Temporal Knowledge Graph Representation Learning Method
- Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
- A Survey on User Behavior Modeling in Recommender Systems
- Learning to Generalize Provably in Learning to Optimize
- BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition
- Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting
- Impact of Event Encoding and Dissimilarity Measures on Traffic Crash Characterization Based on Sequence of Events
- Faster Riemannian Newton-type Optimization by Subsampling and Cubic Regularization
- Deep Active Learning in the Presence of Label Noise: A Survey
- Preventing Catastrophic Forgetting in Continual Learning of New Natural Language Tasks
- Universal Morphology Control via Contextual Modulation