Bayesian Inference
6,267 papers
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Papers
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
ICML 2024
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
ICML 2024
Calibrating LLM-Based Evaluator
COLING 2024
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
ICML 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models
CVPR 2024
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
EMNLP 2024
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions
ICLR 2024
Causal vs. Anticausal merging of predictors
NeurIPS 2024
CausVSR: Causality Inspired Visual Sentiment Recognition
IJCAI 2024
CCSum: A Large-Scale and High-Quality Dataset for Abstractive News Summarization
NAACL 2024
Centroid-Based Efficient Minimum Bayes Risk Decoding
ACL 2024
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion
CVPR 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation
AAAI 2024
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
ICML 2024
Challenging margin-based speaker embedding extractors by using the variational information bottleneck
Interspeech 2024
Choose the Final Translation from NMT and LLM Hypotheses Using MBR Decoding: HW-TSC’s Submission to the WMT24 General MT Shared Task
EMNLP 2024
Choosy Babies Need One Coach: Inducing Mode-Seeking Behavior in BabyLlama with Reverse KL Divergence
CoNLL 2024
Coarse-to-Fine Concept Bottleneck Models
NeurIPS 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
ICLR 2024
Colour Passing Revisited: Lifted Model Construction with Commutative Factors
AAAI 2024
Comparing Comparators in Generalization Bounds
AISTATS 2024
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
ICLR 2024
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference
NeurIPS 2024
Conditional Velocity Score Estimation for Image Restoration
WACV 2024
Confidence Interval Estimation of Predictive Performance in the Context of AutoML
AutoML 2024