Neural Network Optimization
4,155 papers
Papers per year
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Papers
CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation
COLING 2024
Chain-of-Thought Reasoning Without Prompting
NeurIPS 2024
Challenges in Training PINNs: A Loss Landscape Perspective
ICML 2024
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization
NeurIPS 2024
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
ACL 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling
EMNLP 2024
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending
ACL 2024
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
ICML 2024
Complexity Matters: Feature Learning in the Presence of Spurious Correlations
ICML 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
NeurIPS 2024
Conflict-Alleviated Gradient Descent for Adaptive Object Detection
IJCAI 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
ICLR 2024
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
ICML 2024
Contemplative Mechanism for Speech Recognition: Speech Encoders can Think
Interspeech 2024
Context-Aware Non-Autoregressive Document-Level Translation with Sentence-Aligned Connectionist Temporal Classification
COLING 2024
Contextual Bandits with Online Neural Regression
ICLR 2024
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
EMNLP 2024
Controllable Text Generation with Residual Memory Transformer
ACL 2024
Controlling Continuous Relaxation for Combinatorial Optimization
NeurIPS 2024
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
ICML 2024
COPAL: Continual Pruning in Large Language Generative Models
ICML 2024
Correcting Language Model Outputs by Editing Salient Layers
EACL 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
NeurIPS 2024
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks
NeurIPS 2024
Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Models
ACL 2024