Papers
Mon 25 Dec 2023
100 papers
- ShiftKD: Benchmarking Knowledge Distillation under Distribution ShiftKnowledge distillation → General knowledge distillation methods
- Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided DiffusionDiffusion models → Robustness, privacy and adversarial aspects
- Audiobox: Unified Audio Generation with Natural Language PromptsDiffusion models → Audio, speech and music
- TEILP: Time Prediction over Knowledge Graphs via Logical ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- A Recipe for Scaling up Text-to-Video Generation with Text-free VideosDiffusion models → Video generation
- Towards Real-World Blind Face Restoration with Generative Diffusion PriorDiffusion models → Inverse problems and image restoration
- High-Fidelity Diffusion-based Image EditingDiffusion models → Image generation, text-to-image and editing
- What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction TuningLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide GenerationDiffusion models → Flow matching, time series and science
- Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis GenerationLLM reasoning → Reasoning benchmarks and evaluation
- Balanced SNR-Aware Distillation for Guided Text-to-Audio GenerationDiffusion models → Audio, speech and music
- Choosing the Right Path for AI Integration in Engineering Companies: A Strategic Guide
- Active headrest combined with a depth camera-based ear-positioning system
- SAiD: Speech-driven Blendshape Facial Animation with Diffusion
- VAE for Modified 1-Hot Generative Materials Modeling, A Step Towards Inverse Material Design
- μ-Net: ConvNext-Based U-Nets for Cosmic Muon Tomography
- ESGReveal: An LLM-based approach for extracting structured data from ESG reports
- TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
- MetaScript: Few-Shot Handwritten Chinese Content Generation via Generative Adversarial Networks
- A Comprehensive Study of Object Tracking in Low-Light Environments
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
- Toward Accurate and Temporally Consistent Video Restoration from Raw Data
- Nighttime Person Re-Identification via Collaborative Enhancement Network with Multi-domain Learning
- iKUN: Speak to Trackers without Retraining
- Modality-missing RGBT Tracking: Invertible Prompt Learning and High-quality Benchmarks
- Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
- Merging Vision Transformers from Different Tasks and Domains
- Chatbot is Not All You Need: Information-rich Prompting for More Realistic Responses
- Navigating Decision Landscapes: The Impact of Principals on Decision-Making Dynamics
- Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks
- Self-Supervised Learning for Few-Shot Bird Sound Classification
- A Sequential Detection and Tracking of Very Low SNR Objects
- WebVLN: Vision-and-Language Navigation on Websites
- Viral Marketing in Social Networks with Competing Products
- A Unified Generative Framework for Realistic Lidar Simulation in Autonomous Driving Systems
- Compositional Generalization in Spoken Language Understanding
- Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!
- A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning
- Efficient Conformal Prediction under Data Heterogeneity
- GenCast: Diffusion-based ensemble forecasting for medium-range weather
- Robust Stochastically-Descending Unrolled Networks
- AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining
- Design and Implementation of a Tool for Extracting Uzbek Syllables
- Lp-Norm Constrained One-Class Classifier Combination
- On Robust Wasserstein Barycenter: The Model and Algorithm
- Solving Label Variation in Scientific Information Extraction via Multi-Task Learning
- Large Language Models are Not Stable Recommender Systems
- DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection
- Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting
- BiSwift: Bandwidth Orchestrator for Multi-Stream Video Analytics on Edge
- Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
- Diversity-Based Recruitment in Crowdsensing By Combinatorial Multi-Armed Bandits
- Set Prediction Guided by Semantic Concepts for Diverse Video Captioning
- Get a Grip: Reconstructing Hand-Object Stable Grasps in Egocentric Videos
- Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
- UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces
- PersianLLaMA: Towards Building First Persian Large Language Model
- Alleviating Hallucinations of Large Language Models through Induced Hallucinations
- TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning
- Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning
- Rotation Equivariant Proximal Operator for Deep Unfolding Methods in Image Restoration
- RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair
- EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data
- Instruction Fusion: Advancing Prompt Evolution through Hybridization
- Word length-aware text spotting: Enhancing detection and recognition in dense text image
- PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
- Stochastic mean-shift clustering
- Partial Fine-Tuning: A Successor to Full Fine-Tuning for Vision Transformers
- BDIS-SLAM: A lightweight CPU-based dense stereo SLAM for surgery
- 3DGR-CT: Sparse-View CT Reconstruction with a 3D Gaussian Representation
- Open-Vocabulary Video Relation Extraction
- TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
- IQAGPT: Image Quality Assessment with Vision-language and ChatGPT Models
- Unlocking the Potential of Large Language Models for Explainable Recommendations
- Swap-based Deep Reinforcement Learning for Facility Location Problems in Networks
- A graph-based multimodal framework to predict gentrification
- Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment
- UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
- Lifting by Image -- Leveraging Image Cues for Accurate 3D Human Pose Estimation
- MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility
- RDF-star2Vec: RDF-star Graph Embeddings for Data Mining
- Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision
- GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification
- Uncertainty as a Predictor: Leveraging Self-Supervised Learning for Zero-Shot MOS Prediction
- A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks
- APTv2: Benchmarking Animal Pose Estimation and Tracking with a Large-scale Dataset and Beyond
- Inference of Dependency Knowledge Graph for Electronic Health Records
- Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
- Federated learning-outcome prediction with multi-layer privacy protection
- A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning
- A Split-and-Privatize Framework for Large Language Model Fine-Tuning
- Context-aware Communication for Multi-agent Reinforcement Learning
- Zero-Inflated Bandits
- DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition
- Privacy-Preserved Neural Graph Databases
- Deep Structure and Attention Aware Subspace Clustering
- Reducing LLM Hallucinations using Epistemic Neural Networks
- Neural Born Series Operator for Biomedical Ultrasound Computed Tomography
- Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
- A Survey on Open-Set Image Recognition