Papers

New on arXiv

Tue 14 Feb 2023

184 papers

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-ResolutionDiffusion models → Inverse problems and image restoration
From paintbrush to pixel: A review of deep neural networks in AI-generated artDiffusion models → Image generation, text-to-image and editing
Score-based Diffusion Models in Function SpaceDiffusion models → Diffusion foundations and sampling
Constrained Decision Transformer for Offline Safe Reinforcement LearningOffline RL and imitation learning from data → Safe offline RL
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate DiffusionsDiffusion models → Diffusion foundations and sampling
Bounding Training Data Reconstruction in DP-SGDLLM safety and security → Membership inference attacks
Multi-teacher knowledge distillation as an effective method for compressing ensembles of neural networksKnowledge distillation → General knowledge distillation methods
Neurosymbolic AI for Reasoning over Knowledge Graphs: A SurveyLLM reasoning → Reasoning benchmarks and evaluation
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional DataDiffusion models → Diffusion foundations and sampling
Adversarial Rewards in Universal Learning for Contextual BanditsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
Universal Guidance for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion ModelDiffusion models → Image generation, text-to-image and editing
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-TrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
Conservative State Value Estimation for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
Text-Guided Scene Sketch-to-Photo SynthesisDiffusion models → Image generation, text-to-image and editing
Robust Representation Learning with Self-Distillation for Domain GeneralizationKnowledge distillation → General knowledge distillation methods
BLIAM: Literature-based Data Synthesis for Synergistic Drug Combination PredictionSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning FrameworkEnd-to-end autonomous driving → Cooperative and V2X driving
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research DirectionsLLM safety and security → Backdoor and data poisoning attacks
Investigations into Proof Structures
Introduction to Presentation Attack Detection in Fingerprint Biometrics
Enhancing Machine Learning Model Performance with Hyper Parameter Optimization: A Comparative Study
ML-driven Hardware Cost Model for MLIR
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning
Balanced Audiovisual Dataset for Imbalance Analysis
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
On The Coherence of Quantitative Evaluation of Visual Explanations
Self-supervised learning of Split Invariant Equivariant representations
Conditional deep generative models as surrogates for spatial field solution reconstruction with quantified uncertainty in Structural Health Monitoring applications
A Bit-Parallel Deterministic Stochastic Multiplier
Enhancing Deep Knowledge Tracing with Auxiliary Tasks
Data-Centric Governance
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition
Generation of Highlights from Research Papers Using Pointer-Generator Networks and SciBERT Embeddings
Event-guided Multi-patch Network with Self-supervision for Non-uniform Motion Deblurring
Genetic Micro-Programs for Automated Software Testing with Large Path Coverage
Detection and classification of vocal productions in large scale audio recordings
To Risk or Not to Risk: Learning with Risk Quantification for IoT Task Offloading in UAVs
Convolutional unitary or orthogonal recurrent neural networks
Spectral Clustering for Crowdsourcing with Inherently Distinct Task Types
Adding Instructions during Pretraining: Effective Way of Controlling Toxicity in Language Models
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization
Linearized Wasserstein dimensionality reduction with approximation guarantees
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection
BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models
Self-supervised learning of object pose estimation using keypoint prediction
Tag-based annotation creates better avatars
Graph schemas as abstractions for transfer learning, inference, and planning
Cliff-Learning
ScatterShot: Interactive In-context Example Curation for Text Transformation
Semi-Supervised Visual Tracking of Marine Animals using Autonomous Underwater Vehicles
Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility
Intelligent Model Update Strategy for Sequential Recommendation
Hybrid Spiking Neural Network Fine-tuning for Hippocampus Segmentation
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises
Federated Learning via Indirect Server-Client Communications
TRESTLE: Toolkit for Reproducible Execution of Speech, Text and Language Experiments
On Classification-Calibration of Gamma-Phi Losses
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
A dataset for Audio-Visual Sound Event Detection in Movies
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation
Derandomized Novelty Detection with FDR Control via Conformal E-values
AI Chat Assistants can Improve Conversations about Divisive Topics
The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus
Interpolation Learning With Minimum Description Length
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Energy Transformer
Generation Probabilities Are Not Enough: Uncertainty Highlighting in AI Code Completions
WSD: Wild Selfie Dataset for Face Recognition in Selfie Images
The Impact of Twitter Sentiments on Stock Market Trends
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification
ConceptFusion: Open-set Multimodal 3D Mapping
Cauchy Loss Function: Robustness Under Gaussian and Cauchy Noise
A Psycholinguistic Analysis of BERT's Representations of Compounds
Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask
On the Role of Randomization in Adversarially Robust Classification
Synthesizing audio from tongue motion during speech using tagged MRI via transformer
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
Point Cloud Registration for LiDAR and Photogrammetric Data: a Critical Synthesis and Performance Analysis on Classic and Deep Learning Algorithms
Visibility-Aware Pixelwise View Selection for Multi-View Stereo Matching
Quantum algorithms applied to satellite mission planning for Earth observation
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Joint Probability Trees
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement Learning
Learning a model is paramount for sample efficiency in reinforcement learning control of PDEs
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
Practical Cross-System Shilling Attacks with Limited Access to Data

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