Papers
12094 papers
ICLR2025
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
Summary pending...
Generative ModelsModel EvaluationSample-based Metrics
ICLR2025
VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?
Summary pending...
spoken dialogue systemparalinguistic informationbenchmark
ICLR2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
Summary pending...
Offline Reinforcement LearningData CorruptionRobust Reinforcement Learning
ICLR2025
Improving Large Language Model Planning with Action Sequence Similarity
Summary pending...
planning with LLMin-context learning (ICL)action sequence
ICLR2025
HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining
Summary pending...
text-to-motion generationgenerative masked modelhard token mining
ICLR2025
Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
Summary pending...
vision language modelvideo question answeringvideo captioning
ICLR2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Summary pending...
task arithmeticparameter-efficient fine-tuning
ICLR2025
Small Models are LLM Knowledge Triggers for Medical Tabular Prediction
Summary pending...
tabular dataprompt learningclassification
ICLR2025
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
Summary pending...
Sigmoid AttentionPointwise AttentionUniversal Function Approximators
ICLR2025
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Summary pending...
Mixed-integer Linear ProgrammingLearning to Optimize
ICLR2025
PooDLe🐩: Pooled and dense self-supervised learning from naturalistic videos
Summary pending...
computer visionrepresentation learningself-supervised learning
ICLR2025
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient
Summary pending...
MambaModel based reinforcement learningAtari100k
ICLR2025
Efficient Exploration and Discriminative World Model Learning with an Object-Centric Abstraction
Summary pending...
reinforcement learningmodel based reinforcement learningworld model
ICLR2025
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
Summary pending...
Bias MitigationAction Recognition
ICLR2025
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
Summary pending...
spiking neural networkenergy efficient language modelbrain-inspired computing
ICLR2025
UNSURE: self-supervised learning with Unknown Noise level and Stein's Unbiased Risk Estimate
Summary pending...
self-supervised learningimaging inverse problems
ICLR2025
Advantage-Guided Distillation for Preference Alignment in Small Language Models
Summary pending...
Preference Alignment; Large language model; Knowledge Distillation; Advantage Function
ICLR2025
Overcoming Lower-Level Constraints in Bilevel Optimization: A Novel Approach with Regularized Gap Functions
Summary pending...
bilevel optimizationconstrained optimizationgap function
ICLR2025
Uncovering Overfitting in Large Language Model Editing
Summary pending...
Large language modelsKnowledge editingEditing overfit
ICLR2025
Generating Likely Counterfactuals Using Sum-Product Networks
Summary pending...
counterfactual explanationsmixed-integer optimizationsum-product networks