Papers
Sun 17 Dec 2023
134 papers
- Unraveling the Temporal Dynamics of the Unet in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- A Survey of Reasoning with Foundation ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling +1
- Latent Space Editing in Transformer-Based Flow MatchingDiffusion models → Image generation, text-to-image and editing
- Towards Efficient Vision-Language Tuning: More Information Density, More GeneralizabilityMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Learning to Act without ActionsWorld models → Embodied and robot world models
- GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction EstimationOffline RL and imitation learning from data → Imitation learning methods
- JailGuard: A Universal Detection Framework for LLM Prompt-based AttacksLLM safety and security → Jailbreaking
- Mixed Distillation Helps Smaller Language Model Better ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- A Framework of Full-Process Generation Design for Park Green Spaces Based on Remote Sensing Segmentation-GAN-DiffusionDiffusion models → 3D, point cloud and scene generation
- Silkie: Preference Distillation for Large Visual Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- VidToMe: Video Token Merging for Zero-Shot Video EditingDiffusion models → Video generation +1
- An Evaluation of GPT-4V and Gemini in Online VQAMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DistilVPR: Cross-Modal Knowledge Distillation for Visual Place RecognitionKnowledge distillation → Detection and dense prediction distillation
- p-Laplacian Adaptation for Generative Pre-trained Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Policy Optimization in RLHF: The Impact of Out-of-preference DataLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Leaf-Based Plant Disease Detection and Explainable AI
- RoleCraft-GLM: Advancing Personalized Role-Playing in Large Language Models
- A Smoothing Algorithm for l1 Support Vector Machines
- ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
- Dataset Optimization for Chronic Disease Prediction with Bio-Inspired Feature Selection
- AutoVisual Fusion Suite: A Comprehensive Evaluation of Image Segmentation and Voice Conversion Tools on HuggingFace Platform
- Detecting QT prolongation From a Single-lead ECG With Deep Learning
- Optimizing Convolutional Neural Network Architecture
- LightGCN: Evaluated and Enhanced
- Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis
- Bird Movement Prediction Using Long Short-Term Memory Networks to Prevent Bird Strikes with Low Altitude Aircraft
- Students' Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming
- Towards AI-driven Integrative Emissions Monitoring & Management for Nature-Based Climate Solutions
- A review-based study on different Text-to-Speech technologies
- COPD-FlowNet: Elevating Non-invasive COPD Diagnosis with CFD Simulations
- Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks
- Android Malware Detection with Unbiased Confidence Guarantees
- SAI3D: Segment Any Instance in 3D Scenes
- StarVector: Generating Scalable Vector Graphics Code from Images and Text
- CR-SFP: Learning Consistent Representation for Soft Filter Pruning
- Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
- SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
- Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
- A Study on Transferability of Deep Learning Models for Network Intrusion Detection
- Label-Free Multivariate Time Series Anomaly Detection
- High-Fidelity Face Swapping with Style Blending
- Compositional Inductive Invariant Based Verification of Neural Network Controlled Systems
- Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
- Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis
- Facial Emotion Recognition using CNN in PyTorch
- Ocean Data Quality Assessment through Outlier Detection-enhanced Active Learning
- DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
- Deep-Dispatch: A Deep Reinforcement Learning-Based Vehicle Dispatch Algorithm for Advanced Air Mobility
- Non-Euclidean Spatial Graph Neural Network
- Cross-Lingual Learning in Multilingual Scene Text Recognition
- Scope Compliance Uncertainty Estimate
- Land use/land cover classification of fused Sentinel-1 and Sentinel-2 imageries using ensembles of Random Forests
- Large-Scale Multi-Robot Coverage Path Planning via Local Search
- Learning to Learn in Interactive Constraint Acquisition
- A mathematical perspective on Transformers
- Demystifying Instruction Mixing for Fine-tuning Large Language Models
- Learning Discrete-Time Major-Minor Mean Field Games
- kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
- Identification of Knowledge Neurons in Protein Language Models
- M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
- SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation
- Attention-Driven Multichannel Speech Enhancement in Moving Sound Source Scenarios
- Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach
- Multi-Label Classification of COVID-Tweets Using Large Language Models
- CEIR: Concept-based Explainable Image Representation Learning
- Knowledge Trees: Gradient Boosting Decision Trees on Knowledge Neurons as Probing Classifier
- Exploring Sound vs Vibration for Robust Fault Detection on Rotating Machinery
- StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
- Unmasking Deepfake Faces from Videos Using An Explainable Cost-Sensitive Deep Learning Approach
- Traffic Incident Database with Multiple Labels Including Various Perspective Environmental Information
- Benchmarks for Physical Reasoning AI
- Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders
- Harnessing small projectors and multiple views for efficient vision pretraining
- CogCartoon: Towards Practical Story Visualization
- Primitive-based 3D Human-Object Interaction Modelling and Programming
- Synthesizing Black-box Anti-forensics DeepFakes with High Visual Quality
- The Conditioning Bias in Binary Decision Trees and Random Forests and Its Elimination
- CLDR: Contrastive Learning Drug Response Models from Natural Language Supervision
- Learning Safe Numeric Planning Action Models
- Can persistent homology whiten Transformer-based black-box models? A case study on BERT compression
- Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GAN
- Cross-Domain Robustness of Transformer-based Keyphrase Generation
- An Interpretable Deep Learning Approach for Skin Cancer Categorization
- Nonparametric Strategy Test
- Discretionary Trees: Understanding Street-Level Bureaucracy via Machine Learning
- An appointment with Reproducing Kernel Hilbert Space generated by Generalized Gaussian RBF as L2-measure
- Pedestrian Attribute Recognition via CLIP based Prompt Vision-Language Fusion
- Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
- DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation
- Bengali Intent Classification with Generative Adversarial BERT
- Automatic Optimisation of Normalised Neural Networks
- Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance
- Analisis Eksploratif Dan Augmentasi Data NSL-KDD Menggunakan Deep Generative Adversarial Networks Untuk Meningkatkan Performa Algoritma Extreme Gradient Boosting Dalam Klasifikasi Jenis Serangan Siber
- CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization
- Heuristics and Metaheuristics for Dynamic Management of Computing and Cooling Energy in Cloud Data Centers
- Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-hoc Retrieval
- Explorers at #SMM4H 2023: Enhancing BERT for Health Applications through Knowledge and Model Fusion
- PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields
- Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals
All 134
- FedMKGC: Privacy-Preserving Federated Multilingual Knowledge Graph Completion
- Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward
- Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s
- HyperPIE: Hyperparameter Information Extraction from Scientific Publications
- Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
- LLM-Twin: Mini-Giant Model-driven Beyond 5G Digital Twin Networking Framework with Semantic Secure Communication and Computation
- T2M-HiFiGPT: Generating High Quality Human Motion from Textual Descriptions with Residual Discrete Representations
- Decoding Concerns: Multi-label Classification of Vaccine Sentiments in Social Media
- Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
- Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
- Deep dive into language traits of AI-generated Abstracts
- Bi-directional Adapter for Multi-modal Tracking
- Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization
- Robust 3D Tracking with Quality-Aware Shape Completion
- Bayesian Model Selection via Mean-Field Variational Approximation
- A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integration
- Evaluating AI Vocational Skills Through Professional Testing
- A Weighted K-Center Algorithm for Data Subset Selection
- How to Efficiently Annotate Images for Best-Performing Deep Learning Based Segmentation Models: An Empirical Study with Weak and Noisy Annotations and Segment Anything Model
- NN-Steiner: A Mixed Neural-algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem
- Post-Training Quantization for Re-parameterization via Coarse & Fine Weight Splitting
- E2E-AT: A Unified Framework for Tackling Uncertainty in Task-aware End-to-end Learning
- Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
- ESDMR-Net: A Lightweight Network With Expand-Squeeze and Dual Multiscale Residual Connections for Medical Image Segmentation
- Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox
- DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition
- SAME: Sample Reconstruction against Model Extraction Attacks
- Random Forest Variable Importance-based Selection Algorithm in Class Imbalance Problem
- Improved Anonymous Multi-Agent Path Finding Algorithm
- Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection
- Adversarially Balanced Representation for Continuous Treatment Effect Estimation
- Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data
- IntraSeismic: a coordinate-based learning approach to seismic inversion
- Light-weight CNN-based VVC Inter Partitioning Acceleration