Papers
Wed 3 Jan 2024
171 papers
- GLIDE-RL: Grounded Language Instruction through DEmonstration in RLDeep reinforcement learning methods → RL training of language and agent models
- On Time-Indexing as Inductive Bias in Deep RL for Sequential Manipulation TasksDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as ProgrammersLLM reasoning → Multimodal reasoning
- A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and ToxicityLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- GeoPos: A Minimal Positional Encoding for Enhanced Fine-Grained Details in Image Synthesis Using Convolutional Neural NetworksDiffusion models → Diffusion and flow policies for robotics
- Theoretical guarantees on the best-of-n alignment policyLLM reasoning → Test-time compute and efficient thinking
- Concurrent Brainstorming & Hypothesis Satisfying: An Iterative Framework for Enhanced Retrieval-Augmented Generation (R2CBR3H-SR)Retrieval-augmented generation → RAG pipeline design and evaluation
- Moonshot: Towards Controllable Video Generation and Editing with Multimodal ConditionsDiffusion models → Video generation
- aMUSEd: An Open MUSE ReproductionDiffusion models → Image generation, text-to-image and editing
- CoMoSVC: Consistency Model-based Singing Voice ConversionDiffusion models → Audio, speech and music
- DiffYOLO: Object Detection for Anti-Noise via YOLO and Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- SIGNeRF: Scene Integrated Generation for Neural Radiance FieldsDiffusion models → 3D, point cloud and scene generation
- GPT-4V(ision) is a Generalist Web Agent, if GroundedMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction TechniquesMultimodal LLMs / vision-language models → Medical vision-language models
- DDPM based X-ray Image SynthesizerDiffusion models → Medical imaging and segmentation
- S2-DMs:Skip-Step Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Enhancing Multilingual Information Retrieval in Mixed Human Resources Environments: A RAG Model Implementation for Multicultural EnterpriseRetrieval-augmented generation → Generation and context integration
- Self-supervised Reflective Learning through Self-distillation and Online Clustering for Speaker Representation LearningKnowledge distillation → Speech and audio distillation
- Question-Answering Based Summarization of Electronic Health Records using Retrieval Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Data
- A Review of Findings from Neuroscience and Cognitive Psychology as Possible Inspiration for the Path to Artificial General Intelligence
- Intelligent Condition Monitoring of Industrial Plants: An Overview of Methodologies and Uncertainty Management Strategies
- The Best Time for an Update: Risk-Sensitive Minimization of Age-Based Metrics
- Harnessing Transparent Learning Analytics for Individualized Support through Auto-detection of Engagement in Face-to-Face Collaborative Learning
- Harnessing Artificial Intelligence for Sustainable Agricultural Development in Africa: Opportunities, Challenges, and Impact
- CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition
- On the selection and effectiveness of pseudo-absences for species distribution modeling with deep learning
- A Latent Dirichlet Allocation (LDA) Semantic Text Analytics Approach to Explore Topical Features in Charity Crowdfunding Campaigns
- Automation of Smart Homes with Multiple Rule Sources
- Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
- Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
- GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
- Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias
- Hierarchical Clustering in LambdaCDM Cosmologies via Persistence Energy
- Representation Learning of Multivariate Time Series using Attention and Adversarial Training
- AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance
- Beyond Regrets: Geometric Metrics for Bayesian Optimization
- Tailor: Size Recommendations for High-End Fashion Marketplaces
- FMGS: Foundation Model Embedded 3D Gaussian Splatting for Holistic 3D Scene Understanding
- Instruct-Imagen: Image Generation with Multi-modal Instruction
- Generalist embedding models are better at short-context clinical semantic search than specialized embedding models
- The Internet of Things in the Era of Generative AI: Vision and Challenges
- Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
- Distilling Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
- AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets
- LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
- From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
- Mining Temporal Attack Patterns from Cyberthreat Intelligence Reports
- Graph Neural Networks for Surfactant Multi-Property Prediction
- On the hardness of learning under symmetries
- Step length measurement in the wild using FMCW radar
- Dataset Difficulty and the Role of Inductive Bias
- A Vision Check-up for Language Models
- Synthetic dataset of ID and Travel Document
- Optimal cross-learning for contextual bandits with unknown context distributions
- Transformer Neural Autoregressive Flows
- Multilingual Instruction Tuning With Just a Pinch of Multilinguality
- The Power of Training: How Different Neural Network Setups Influence the Energy Demand
- DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
- Investigating Semi-Supervised Learning Algorithms in Text Datasets
- Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
- Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
- Frequency Domain Modality-invariant Feature Learning for Visible-infrared Person Re-Identification
- Neural Control: Concurrent System Identification and Control Learning with Neural ODE
- Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling
- Physio: An LLM-Based Physiotherapy Advisor
- Detours for Navigating Instructional Videos
- HawkRover: An Autonomous mmWave Vehicular Communication Testbed with Multi-sensor Fusion and Deep Learning
- Large Language Models Relearn Removed Concepts
- Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses
- Efficient Computation of Confidence Sets Using Classification on Equidistributed Grids
- A quatum inspired neural network for geometric modeling
- Deep learning the Hurst parameter of linear fractional processes and assessing its reliability
- Applications of machine learning and IoT for Outdoor Air Pollution Monitoring and Prediction: A Systematic Literature Review
- Approximating Numerical Fluxes Using Fourier Neural Operators for Hyperbolic Conservation Laws
- Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book Question Answering
- A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure
- Cross-target Stance Detection by Exploiting Target Analytical Perspectives
- VGA: Vision and Graph Fused Attention Network for Rumor Detection
- Incremental FastPitch: Chunk-based High Quality Text to Speech
- Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms
- A Generative AI Assistant to Accelerate Cloud Migration
- FullLoRA: Efficiently Boosting the Robustness of Pretrained Vision Transformers
- Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
- Few-shot Image Generation via Information Transfer from the Built Geodesic Surface
- Few-shot Adaptation of Multi-modal Foundation Models: A Survey
- Learning Keypoints for Robotic Cloth Manipulation using Synthetic Data
- Investigating the Suitability of Concept Drift Detection for Detecting Leakages in Water Distribution Networks
- Task and Explanation Network
- STAF: 3D Human Mesh Recovery from Video with Spatio-Temporal Alignment Fusion
- Ravnest: Decentralized Asynchronous Training on Heterogeneous Devices
- Lightweight Adaptive Feature De-drifting for Compressed Image Classification
- Local Adaptive Clustering Based Image Matching for Automatic Visual Identification
- Fact-checking based fake news detection: a review
- Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
- EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
- WordArt Designer API: User-Driven Artistic Typography Synthesis with Large Language Models on ModelScope
- Patterns of Persistence and Diffusibility across the World's Languages
- AID-DTI: Accelerating High-fidelity Diffusion Tensor Imaging with Detail-Preserving Model-based Deep Learning
- Predicting challenge moments from students' discourse: A comparison of GPT-4 to two traditional natural language processing approaches
All 171
- Zero-shot Active Learning Using Self Supervised Learning
- ODTrack: Online Dense Temporal Token Learning for Visual Tracking
- Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
- Performance Evaluation of GPS Trajectory Rasterization Methods
- Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens
- MLPs Compass: What is learned when MLPs are combined with PLMs?
- Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging
- Deep Automated Mechanism Design for Integrating Ad Auction and Allocation in Feed
- LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
- AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI
- De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
- Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction
- Model Averaging and Double Machine Learning
- S3Net: Innovating Stereo Matching and Semantic Segmentation with a Single-Branch Semantic Stereo Network in Satellite Epipolar Imagery
- BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
- Towards a Foundation Purchasing Model: Pretrained Generative Autoregression on Transaction Sequences
- Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
- Social Media Ready Caption Generation for Brands
- A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components
- Synthetic Data in AI: Challenges, Applications, and Ethical Implications
- On the Expressive Power of Graph Neural Networks
- SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks
- Context-Aware Interaction Network for RGB-T Semantic Segmentation
- Can AI Be as Creative as Humans?
- Large Language Model Capabilities in Perioperative Risk Prediction and Prognostication
- PLLaMa: An Open-source Large Language Model for Plant Science
- Generalization Error Curves for Analytic Spectral Algorithms under Power-law Decay
- Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning
- MedSumm: A Multimodal Approach to Summarizing Code-Mixed Hindi-English Clinical Queries
- MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
- Real-Time Human Fall Detection using a Lightweight Pose Estimation Technique
- An Invariant Information Geometric Method for High-Dimensional Online Optimization
- Context-Guided Spatio-Temporal Video Grounding
- Test-Time Personalization with Meta Prompt for Gaze Estimation
- Enhancing Generalization of Invisible Facial Privacy Cloak via Gradient Accumulation
- A Transformer-Based Adaptive Semantic Aggregation Method for UAV Visual Geo-Localization
- View Distribution Alignment with Progressive Adversarial Learning for UAV Visual Geo-Localization
- Hallucinations in Neural Automatic Speech Recognition: Identifying Errors and Hallucinatory Models
- AttentionLut: Attention Fusion-based Canonical Polyadic LUT for Real-time Image Enhancement
- One-Step Late Fusion Multi-view Clustering with Compressed Subspace
- Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis
- CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers
- Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction
- Boosting of Implicit Neural Representation-based Image Denoiser
- DDN-SLAM: Real-time Dense Dynamic Neural Implicit SLAM
- Collaborative Perception for Connected and Autonomous Driving: Challenges, Possible Solutions and Opportunities
- Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
- Adversarial Machine Learning-Enabled Anonymization of OpenWiFi Data
- The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers
- Will 6G be Semantic Communications? Opportunities and Challenges from Task Oriented and Secure Communications to Integrated Sensing
- Glance and Focus: Memory Prompting for Multi-Event Video Question Answering
- Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
- Multimodal self-supervised learning for lesion localization
- GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
- LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training
- Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
- Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
- AIRI: Predicting Retention Indices and their Uncertainties using Artificial Intelligence
- Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
- Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games
- Utilizing Neural Transducers for Two-Stage Text-to-Speech via Semantic Token Prediction
- From Pixel to Slide image: Polarization Modality-based Pathological Diagnosis Using Representation Learning
- A Two-Stage Multimodal Emotion Recognition Model Based on Graph Contrastive Learning
- Free Lunch for Federated Remote Sensing Target Fine-Grained Classification: A Parameter-Efficient Framework
- The Neuron as a Direct Data-Driven Controller
- Natural Language Processing and Multimodal Stock Price Prediction
- Uncertainty Regularized Evidential Regression
- Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
- Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels
- Studying and Recommending Information Highlighting in Stack Overflow Answers
- TPC-ViT: Token Propagation Controller for Efficient Vision Transformer