Papers
Fri 19 Aug 2022
134 papers
- Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseDiffusion models → Diffusion foundations and sampling
- VLMAE: Vision-Language Masked AutoencoderMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion ModelDiffusion models → Sign language production
- Graph Neural Network Based Node Deployment for Throughput Enhancement
- Forecasting Evolution of Clusters in Game Agents with Hebbian Learning
- Searching for Structure in Unfalsifiable Claims
- DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation
- MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing
- Locally temporal-spatial pattern learning with graph attention mechanism for EEG-based emotion recognition
- Application of Causal Inference to Analytical Customer Relationship Management in Banking and Insurance
- Home Run: Finding Your Way Home by Imagining Trajectories
- Simulation-Informed Revenue Extrapolation with Confidence Estimate for Scaleup Companies Using Scarce Time-Series Data
- Intensity-Aware Loss for Dynamic Facial Expression Recognition in the Wild
- FORBID: Fast Overlap Removal By stochastic gradIent Descent for Graph Drawing
- To show or not to show: Redacting sensitive text from videos of electronic displays
- From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning
- Probabilities of Causation with Nonbinary Treatment and Effect
- Multiple Instance Neuroimage Transformer
- Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features
- Neural network facilitated ab initio derivation of linear formula: A case study on formulating the relationship between DNA motifs and gene expression
- Personalized Decision Making -- A Conceptual Introduction
- Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks
- Game-Theoretic Algorithms for Conditional Moment Matching
- Sudakov-Fernique post-AMP, and a new proof of the local convexity of the TAP free energy
- Meta Learning for High-dimensional Ising Model Selection Using ℓ1-regularized Logistic Regression
- Predicting the Masses of Exotic Hadrons with Data Augmentation Using Multilayer Perceptron
- [Re] Differentiable Spatial Planning using Transformers
- Intersection of Parallels as an Early Stopping Criterion
- Accelerating Vision Transformer Training via a Patch Sampling Schedule
- Recurrent Neural Network-based Anti-jamming Framework for Defense Against Multiple Jamming Policies
- Exploring Popularity Bias in Music Recommendation Models and Commercial Steaming Services
- Spectral Decomposition Representation for Reinforcement Learning
- Globus Automation Services: Research process automation across the space-time continuum
- Exploring the Limits of Synthetic Creation of Solar EUV Images via Image-to-Image Translation
- Causality-Inspired Taxonomy for Explainable Artificial Intelligence
- A decomposition of book structure through ousiometric fluctuations in cumulative word-time
- Topical: Learning Repository Embeddings from Source Code using Attention
- Near-optimal fitting of ellipsoids to random points
- Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion
- Federated Learning of Neural ODE Models with Different Iteration Counts
- Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience
- Gender Bias and Universal Substitution Adversarial Attacks on Grammatical Error Correction Systems for Automated Assessment
- Temporal View Synthesis of Dynamic Scenes through 3D Object Motion Estimation with Multi-Plane Images
- A physics-based domain adaptation framework for modelling and forecasting building energy systems
- Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
- Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games
- Guided-deconvolution for Correlative Light and Electron Microscopy
- A Novel Plug-and-Play Approach for Adversarially Robust Generalization
- MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection
- Feature Selection for Fault Detection and Prediction based on Event Log Analysis
- Adapting Task-Oriented Dialogue Models for Email Conversations
- Graph-Augmented Cyclic Learning Framework for Similarity Estimation of Medical Clinical Notes
- Estimating a potential without the agony of the partition function
- Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning
- Curbing Task Interference using Representation Similarity-Guided Multi-Task Feature Sharing
- Hierarchical Compositional Representations for Few-shot Action Recognition
- SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
- Target-oriented Sentiment Classification with Sequential Cross-modal Semantic Graph
- ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization
- Wildfire Forecasting with Satellite Images and Deep Generative Model
- PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis
- Learning in Stackelberg Games with Non-myopic Agents
- Dance Style Transfer with Cross-modal Transformer
- Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
- Nonlinear Optical Data Transformer for Machine Learning
- PersDet: Monocular 3D Detection in Perspective Bird's-Eye-View
- Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels
- Non-Stationary Dynamic Pricing Via Actor-Critic Information-Directed Pricing
- Dialogue Policies for Confusion Mitigation in Situated HRI
- End-to-end Clinical Event Extraction from Chinese Electronic Health Record
- PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
- IPNET:Influential Prototypical Networks for Few Shot Learning
- A note on incorrect inferences in non-binary qualitative probabilistic networks
- Evaluating Explainability for Graph Neural Networks
- Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models
- Text to Image Generation: Leaving no Language Behind
- Low-light Enhancement Method Based on Attention Map Net
- Causal Intervention Improves Implicit Sentiment Analysis
- Deep Learning for Choice Modeling
- Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries
- Entropy Augmented Reinforcement Learning
- UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA
- Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
- Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel
- Expressing Multivariate Time Series as Graphs with Time Series Attention Transformer
- SimLDA: A tool for topic model evaluation
- UnCommonSense: Informative Negative Knowledge about Everyday Concepts
- Background Invariance Testing According to Semantic Proximity
- Diagnose Like a Radiologist: Hybrid Neuro-Probabilistic Reasoning for Attribute-Based Medical Image Diagnosis
- Atomistic structure search using local surrogate mode
- Feature Selection Enhancement and Feature Space Visualization for Speech-Based Emotion Recognition
- Diverse Video Captioning by Adaptive Spatio-temporal Attention
- Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits
- Pseudo-Labels Are All You Need
- An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection
- Shift Variance in Scene Text Detection
- FP8 Quantization: The Power of the Exponent
- SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction
- Demystifying Randomly Initialized Networks for Evaluating Generative Models
- Ensemble uncertainty as a criterion for dataset expansion in distinct bone segmentation from upper-body CT images
All 134
- Almost Cost-Free Communication in Federated Best Arm Identification
- Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?
- Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention
- Towards Efficient Capsule Networks
- Improving Post-Processing of Audio Event Detectors Using Reinforcement Learning
- Test-time Training for Data-efficient UCDR
- EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation
- Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks
- Synthetic Data in Human Analysis: A Survey
- Cross-Domain Evaluation of a Deep Learning-Based Type Inference System
- Improved Image Classification with Token Fusion
- A Physics-informed Deep Learning Approach for Minimum Effort Stochastic Control of Colloidal Self-Assembly
- Effective Transfer Learning for Low-Resource Natural Language Understanding
- Atomist or Holist? A Diagnosis and Vision for More Productive Interdisciplinary AI Ethics Dialogue
- Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning
- UniCausal: Unified Benchmark and Repository for Causal Text Mining
- Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching
- Part-aware Prototypical Graph Network for One-shot Skeleton-based Action Recognition
- Disentangled Representation with Causal Constraints for Counterfactual Fairness
- Semi-analytic PINN methods for singularly perturbed boundary value problems
- Classification Performance Metric Elicitation and its Applications
- DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization
- GreenKGC: A Lightweight Knowledge Graph Completion Method
- Personalizing Intervened Network for Long-tailed Sequential User Behavior Modeling
- Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding
- Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow
- GraphTTA: Test Time Adaptation on Graph Neural Networks
- IAN: Iterated Adaptive Neighborhoods for manifold learning and dimensionality estimation
- Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian
- Discourse Cohesion Evaluation for Document-Level Neural Machine Translation
- A Risk-Sensitive Approach to Policy Optimization
- A Causality-Based Learning Approach for Discovering the Underlying Dynamics of Complex Systems from Partial Observations with Stochastic Parameterization
- Scalable Multi-Agent Lab Framework for Lab Optimization
- Discovering Faint and High Apparent Motion Rate Near-Earth Asteroids Using A Deep Learning Program